EKON24_SimpleImageClassificationCPU2021.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "EKON24_SimpleImageClassificationCPU.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/maxkleiner/python4delphi/blob/master/EKON24_SimpleImageClassificationCPU2021.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qAy5FJaX1dsa",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9af72430-d7c8-4d07-9c32-a38384e891af"
      },
      "source": [
        "!apt-get update"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\r0% [Working]\r            \rIgn:1 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  InRelease\n",
            "\r0% [Connecting to archive.ubuntu.com] [Connecting to security.ubuntu.com] [Wait\r                                                                               \rGet:2 https://cloud.r-project.org/bin/linux/ubuntu bionic-cran40/ InRelease [3,626 B]\n",
            "\r0% [Connecting to archive.ubuntu.com] [Connecting to security.ubuntu.com] [2 In\r0% [Connecting to archive.ubuntu.com] [Connecting to security.ubuntu.com] [Conn\r                                                                               \rIgn:3 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  InRelease\n",
            "\r0% [Connecting to archive.ubuntu.com] [Connecting to security.ubuntu.com] [Conn\r0% [2 InRelease gpgv 3,626 B] [Connecting to archive.ubuntu.com] [Connecting to\r                                                                               \rHit:4 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  Release\n",
            "Hit:5 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  Release\n",
            "Get:6 http://security.ubuntu.com/ubuntu bionic-security InRelease [88.7 kB]\n",
            "Get:7 https://cloud.r-project.org/bin/linux/ubuntu bionic-cran40/ Packages [67.4 kB]\n",
            "Get:8 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic InRelease [15.9 kB]\n",
            "Hit:9 http://archive.ubuntu.com/ubuntu bionic InRelease\n",
            "Get:11 http://archive.ubuntu.com/ubuntu bionic-updates InRelease [88.7 kB]\n",
            "Hit:13 http://ppa.launchpad.net/cran/libgit2/ubuntu bionic InRelease\n",
            "Get:14 http://archive.ubuntu.com/ubuntu bionic-backports InRelease [74.6 kB]\n",
            "Hit:15 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu bionic InRelease\n",
            "Get:16 http://security.ubuntu.com/ubuntu bionic-security/restricted amd64 Packages [581 kB]\n",
            "Hit:17 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu bionic InRelease\n",
            "Get:18 http://security.ubuntu.com/ubuntu bionic-security/universe amd64 Packages [1,428 kB]\n",
            "Get:19 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic/main Sources [1,802 kB]\n",
            "Get:20 http://security.ubuntu.com/ubuntu bionic-security/main amd64 Packages [2,335 kB]\n",
            "Get:21 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 Packages [2,202 kB]\n",
            "Get:22 http://archive.ubuntu.com/ubuntu bionic-updates/restricted amd64 Packages [613 kB]\n",
            "Get:23 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic/main amd64 Packages [922 kB]\n",
            "Get:24 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 Packages [2,770 kB]\n",
            "Fetched 13.0 MB in 4s (3,425 kB/s)\n",
            "Reading package lists... Done\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UHZcHLryCbir",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "81239abd-9f9b-4471-ceb0-6209272b0644"
      },
      "source": [
        "!apt-get install fpc fpc-source lazarus git subversion"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "git is already the newest version (1:2.17.1-1ubuntu0.9).\n",
            "The following additional packages will be installed:\n",
            "  autoconf automake autopoint autotools-dev debhelper dh-autoreconf\n",
            "  dh-strip-nondeterminism file fp-compiler-3.0.4 fp-docs-3.0.4 fp-ide-3.0.4\n",
            "  fp-units-base-3.0.4 fp-units-db-3.0.4 fp-units-fcl-3.0.4 fp-units-fv-3.0.4\n",
            "  fp-units-gfx-3.0.4 fp-units-gtk2-3.0.4 fp-units-math-3.0.4\n",
            "  fp-units-misc-3.0.4 fp-units-multimedia-3.0.4 fp-units-net-3.0.4\n",
            "  fp-units-rtl-3.0.4 fp-utils-3.0.4 fpc-3.0.4 fpc-source-3.0.4 gdb gdbserver\n",
            "  gettext gettext-base gir1.2-atk-1.0 gir1.2-freedesktop gir1.2-gdkpixbuf-2.0\n",
            "  gir1.2-gtk-2.0 gir1.2-pango-1.0 intltool-debian lazarus-1.8 lazarus-doc-1.8\n",
            "  lazarus-ide lazarus-ide-1.8 lazarus-ide-gtk2-1.8 lazarus-src-1.8 lcl-1.8\n",
            "  lcl-gtk2-1.8 lcl-nogui-1.8 lcl-units-1.8 lcl-utils-1.8 liba52-0.7.4\n",
            "  liba52-0.7.4-dev libapr1 libaprutil1 libarchive-cpio-perl\n",
            "  libarchive-zip-perl libatk1.0-dev libbabeltrace1 libc6-dbg libcaca-dev\n",
            "  libcairo-script-interpreter2 libcairo2-dev libdca-dev libdca0 libdts-dev\n",
            "  libdw1 libfile-stripnondeterminism-perl libfluidsynth1 libforms-dev\n",
            "  libforms2 libgail-common libgail18 libgd-dev libgdk-pixbuf2.0-dev libgmp-dev\n",
            "  libgmpxx4ldbl libgraphviz-dev libgtk2.0-0 libgtk2.0-bin libgtk2.0-common\n",
            "  libgtk2.0-dev libgvc6-plugins-gtk libmad0 libmad0-dev libmagic-mgc libmagic1\n",
            "  libmail-sendmail-perl libmikmod-config libmikmod-dev libmikmod3\n",
            "  libmodplug-dev libmodplug1 libpango1.0-dev libpangoxft-1.0-0 libpixman-1-dev\n",
            "  libproxy-tools libpulse-dev libpulse-mainloop-glib0 libsdl-mixer1.2\n",
            "  libsdl-mixer1.2-dev libsdl1.2-dev libsdl1.2debian libserf-1-1 libsigsegv2\n",
            "  libslang2-dev libsvn1 libsys-hostname-long-perl libtimedate-perl libtool\n",
            "  libvlc-bin libvlc-dev libvlc5 libvlccore9 libvpx-dev libxcb-shm0-dev\n",
            "  libxcomposite-dev libxcursor-dev libxdot4 libxinerama-dev libxml2-utils\n",
            "  libxpm-dev libxrandr-dev libxxf86dga-dev libxxf86dga1 m4 po-debconf\n",
            "  timgm6mb-soundfont x11proto-composite-dev x11proto-randr-dev\n",
            "  x11proto-xf86dga-dev x11proto-xinerama-dev\n",
            "Suggested packages:\n",
            "  autoconf-archive gnu-standards autoconf-doc dh-make dwz firebird-dev\n",
            "  freetds-dev libgdbm-dev pxlib-dev gdb-doc gettext-doc libasprintf-dev\n",
            "  libgettextpo-dev libcairo2-doc libforms-bin libforms-doc gmp-doc\n",
            "  libgmp10-doc libmpfr-dev gvfs libgtk2.0-doc imagemagick libpango1.0-doc\n",
            "  libtool-doc gcj-jdk m4-doc libmail-box-perl db5.3-util libapache2-mod-svn\n",
            "  subversion-tools fluid-soundfont-gm fluidsynth timidity musescore\n",
            "Recommended packages:\n",
            "  libggi2-dev\n",
            "The following NEW packages will be installed:\n",
            "  autoconf automake autopoint autotools-dev debhelper dh-autoreconf\n",
            "  dh-strip-nondeterminism file fp-compiler-3.0.4 fp-docs-3.0.4 fp-ide-3.0.4\n",
            "  fp-units-base-3.0.4 fp-units-db-3.0.4 fp-units-fcl-3.0.4 fp-units-fv-3.0.4\n",
            "  fp-units-gfx-3.0.4 fp-units-gtk2-3.0.4 fp-units-math-3.0.4\n",
            "  fp-units-misc-3.0.4 fp-units-multimedia-3.0.4 fp-units-net-3.0.4\n",
            "  fp-units-rtl-3.0.4 fp-utils-3.0.4 fpc fpc-3.0.4 fpc-source fpc-source-3.0.4\n",
            "  gdb gdbserver gettext gettext-base gir1.2-atk-1.0 gir1.2-freedesktop\n",
            "  gir1.2-gdkpixbuf-2.0 gir1.2-gtk-2.0 gir1.2-pango-1.0 intltool-debian lazarus\n",
            "  lazarus-1.8 lazarus-doc-1.8 lazarus-ide lazarus-ide-1.8 lazarus-ide-gtk2-1.8\n",
            "  lazarus-src-1.8 lcl-1.8 lcl-gtk2-1.8 lcl-nogui-1.8 lcl-units-1.8\n",
            "  lcl-utils-1.8 liba52-0.7.4 liba52-0.7.4-dev libapr1 libaprutil1\n",
            "  libarchive-cpio-perl libarchive-zip-perl libatk1.0-dev libbabeltrace1\n",
            "  libc6-dbg libcaca-dev libcairo-script-interpreter2 libcairo2-dev libdca-dev\n",
            "  libdca0 libdts-dev libdw1 libfile-stripnondeterminism-perl libfluidsynth1\n",
            "  libforms-dev libforms2 libgail-common libgail18 libgd-dev\n",
            "  libgdk-pixbuf2.0-dev libgmp-dev libgmpxx4ldbl libgraphviz-dev libgtk2.0-0\n",
            "  libgtk2.0-bin libgtk2.0-common libgtk2.0-dev libgvc6-plugins-gtk libmad0\n",
            "  libmad0-dev libmagic-mgc libmagic1 libmail-sendmail-perl libmikmod-config\n",
            "  libmikmod-dev libmikmod3 libmodplug-dev libmodplug1 libpango1.0-dev\n",
            "  libpangoxft-1.0-0 libpixman-1-dev libproxy-tools libpulse-dev\n",
            "  libpulse-mainloop-glib0 libsdl-mixer1.2 libsdl-mixer1.2-dev libsdl1.2-dev\n",
            "  libsdl1.2debian libserf-1-1 libsigsegv2 libslang2-dev libsvn1\n",
            "  libsys-hostname-long-perl libtimedate-perl libtool libvlc-bin libvlc-dev\n",
            "  libvlc5 libvlccore9 libvpx-dev libxcb-shm0-dev libxcomposite-dev\n",
            "  libxcursor-dev libxdot4 libxinerama-dev libxml2-utils libxpm-dev\n",
            "  libxrandr-dev libxxf86dga-dev libxxf86dga1 m4 po-debconf subversion\n",
            "  timgm6mb-soundfont x11proto-composite-dev x11proto-randr-dev\n",
            "  x11proto-xf86dga-dev x11proto-xinerama-dev\n",
            "0 upgraded, 131 newly installed, 0 to remove and 61 not upgraded.\n",
            "Need to get 166 MB of archives.\n",
            "After this operation, 1,259 MB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu bionic/main amd64 libxxf86dga1 amd64 2:1.1.4-1 [13.7 kB]\n",
            "Get:2 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libmagic-mgc amd64 1:5.32-2ubuntu0.4 [184 kB]\n",
            "Get:3 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libmagic1 amd64 1:5.32-2ubuntu0.4 [68.6 kB]\n",
            "Get:4 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 file amd64 1:5.32-2ubuntu0.4 [22.1 kB]\n",
            "Get:5 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 gettext-base amd64 0.19.8.1-6ubuntu0.3 [113 kB]\n",
            "Get:6 http://archive.ubuntu.com/ubuntu bionic/main amd64 libsigsegv2 amd64 2.12-1 [14.7 kB]\n",
            "Get:7 http://archive.ubuntu.com/ubuntu bionic/main amd64 m4 amd64 1.4.18-1 [197 kB]\n",
            "Get:8 http://archive.ubuntu.com/ubuntu bionic/main amd64 autoconf all 2.69-11 [322 kB]\n",
            "Get:9 http://archive.ubuntu.com/ubuntu bionic/main amd64 autotools-dev all 20180224.1 [39.6 kB]\n",
            "Get:10 http://archive.ubuntu.com/ubuntu bionic/main amd64 automake all 1:1.15.1-3ubuntu2 [509 kB]\n",
            "Get:11 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 autopoint all 0.19.8.1-6ubuntu0.3 [426 kB]\n",
            "Get:12 http://archive.ubuntu.com/ubuntu bionic/main amd64 libtool all 2.4.6-2 [194 kB]\n",
            "Get:13 http://archive.ubuntu.com/ubuntu bionic/main amd64 dh-autoreconf all 17 [15.8 kB]\n",
            "Get:14 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libarchive-zip-perl all 1.60-1ubuntu0.1 [84.6 kB]\n",
            "Get:15 http://archive.ubuntu.com/ubuntu bionic/main amd64 libfile-stripnondeterminism-perl all 0.040-1.1~build1 [13.8 kB]\n",
            "Get:16 http://archive.ubuntu.com/ubuntu bionic/main amd64 libtimedate-perl all 2.3000-2 [37.5 kB]\n",
            "Get:17 http://archive.ubuntu.com/ubuntu bionic/main amd64 dh-strip-nondeterminism all 0.040-1.1~build1 [5,208 B]\n",
            "Get:18 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 gettext amd64 0.19.8.1-6ubuntu0.3 [1,293 kB]\n",
            "Get:19 http://archive.ubuntu.com/ubuntu bionic/main amd64 intltool-debian all 0.35.0+20060710.4 [24.9 kB]\n",
            "Get:20 http://archive.ubuntu.com/ubuntu bionic/main amd64 po-debconf all 1.0.20 [232 kB]\n",
            "Get:21 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 debhelper all 11.1.6ubuntu2 [902 kB]\n",
            "Get:22 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 fp-units-rtl-3.0.4 amd64 3.0.4+dfsg-18ubuntu2 [2,039 kB]\n",
            "Get:23 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 fp-compiler-3.0.4 amd64 3.0.4+dfsg-18ubuntu2 [1,949 kB]\n",
            "Get:24 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 fp-docs-3.0.4 all 3.0.4+dfsg-18ubuntu2 [882 kB]\n",
            "Get:25 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 fp-ide-3.0.4 amd64 3.0.4+dfsg-18ubuntu2 [1,453 kB]\n",
            "Get:26 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 fp-units-base-3.0.4 amd64 3.0.4+dfsg-18ubuntu2 [1,050 kB]\n",
            "Get:27 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 fp-units-db-3.0.4 amd64 3.0.4+dfsg-18ubuntu2 [745 kB]\n",
            "Get:28 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 fp-units-fcl-3.0.4 amd64 3.0.4+dfsg-18ubuntu2 [4,798 kB]\n",
            "Get:29 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 fp-units-fv-3.0.4 amd64 3.0.4+dfsg-18ubuntu2 [297 kB]\n",
            "Get:30 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 fp-units-gfx-3.0.4 amd64 3.0.4+dfsg-18ubuntu2 [1,099 kB]\n",
            "Get:31 http://archive.ubuntu.com/ubuntu bionic/main amd64 libgtk2.0-common all 2.24.32-1ubuntu1 [125 kB]\n",
            "Get:32 http://archive.ubuntu.com/ubuntu bionic/main amd64 libgtk2.0-0 amd64 2.24.32-1ubuntu1 [1,769 kB]\n",
            "Get:33 http://archive.ubuntu.com/ubuntu bionic/main amd64 gir1.2-atk-1.0 amd64 2.28.1-1 [17.8 kB]\n",
            "Get:34 http://archive.ubuntu.com/ubuntu bionic/main amd64 gir1.2-freedesktop amd64 1.56.1-1 [9,080 B]\n",
            "Get:35 http://archive.ubuntu.com/ubuntu bionic/main amd64 gir1.2-gdkpixbuf-2.0 amd64 2.36.11-2 [7,748 B]\n",
            "Get:36 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libpangoxft-1.0-0 amd64 1.40.14-1ubuntu0.1 [15.0 kB]\n",
            "Get:37 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 gir1.2-pango-1.0 amd64 1.40.14-1ubuntu0.1 [21.6 kB]\n",
            "Get:38 http://archive.ubuntu.com/ubuntu bionic/main amd64 gir1.2-gtk-2.0 amd64 2.24.32-1ubuntu1 [172 kB]\n",
            "Get:39 http://archive.ubuntu.com/ubuntu bionic/main amd64 libgdk-pixbuf2.0-dev amd64 2.36.11-2 [46.8 kB]\n",
            "Get:40 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libcairo-script-interpreter2 amd64 1.15.10-2ubuntu0.1 [53.5 kB]\n",
            "Get:41 http://archive.ubuntu.com/ubuntu bionic/main amd64 libpixman-1-dev amd64 0.34.0-2 [244 kB]\n",
            "Get:42 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libxcb-shm0-dev amd64 1.13-2~ubuntu18.04 [6,684 B]\n",
            "Get:43 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libcairo2-dev amd64 1.15.10-2ubuntu0.1 [626 kB]\n",
            "Get:44 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libpango1.0-dev amd64 1.40.14-1ubuntu0.1 [288 kB]\n",
            "Get:45 http://archive.ubuntu.com/ubuntu bionic/main amd64 libatk1.0-dev amd64 2.28.1-1 [79.9 kB]\n",
            "Get:46 http://archive.ubuntu.com/ubuntu bionic/main amd64 x11proto-xinerama-dev all 2018.4-4 [2,628 B]\n",
            "Get:47 http://archive.ubuntu.com/ubuntu bionic/main amd64 libxinerama-dev amd64 2:1.1.3-1 [8,404 B]\n",
            "Get:48 http://archive.ubuntu.com/ubuntu bionic/main amd64 x11proto-randr-dev all 2018.4-4 [2,620 B]\n",
            "Get:49 http://archive.ubuntu.com/ubuntu bionic/main amd64 libxrandr-dev amd64 2:1.5.1-1 [24.0 kB]\n",
            "Get:50 http://archive.ubuntu.com/ubuntu bionic/main amd64 libxcursor-dev amd64 1:1.1.15-1 [26.5 kB]\n",
            "Get:51 http://archive.ubuntu.com/ubuntu bionic/main amd64 x11proto-composite-dev all 1:2018.4-4 [2,620 B]\n",
            "Get:52 http://archive.ubuntu.com/ubuntu bionic/main amd64 libxcomposite-dev amd64 1:0.4.4-2 [9,136 B]\n",
            "Get:53 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libxml2-utils amd64 2.9.4+dfsg1-6.1ubuntu1.4 [35.8 kB]\n",
            "Get:54 http://archive.ubuntu.com/ubuntu bionic/main amd64 libgtk2.0-dev amd64 2.24.32-1ubuntu1 [2,652 kB]\n",
            "Get:55 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 fp-units-gtk2-3.0.4 amd64 3.0.4+dfsg-18ubuntu2 [1,013 kB]\n",
            "Get:56 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 fp-units-math-3.0.4 amd64 3.0.4+dfsg-18ubuntu2 [344 kB]\n",
            "Get:57 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 fp-units-misc-3.0.4 amd64 3.0.4+dfsg-18ubuntu2 [1,087 kB]\n",
            "Get:58 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 fp-units-multimedia-3.0.4 amd64 3.0.4+dfsg-18ubuntu2 [208 kB]\n",
            "Get:59 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 fp-units-net-3.0.4 amd64 3.0.4+dfsg-18ubuntu2 [5,416 kB]\n",
            "Get:60 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 fpc-source-3.0.4 all 3.0.4+dfsg-18ubuntu2 [17.0 MB]\n",
            "Get:61 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 fp-utils-3.0.4 amd64 3.0.4+dfsg-18ubuntu2 [2,758 kB]\n",
            "Get:62 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 fpc-3.0.4 all 3.0.4+dfsg-18ubuntu2 [24.4 kB]\n",
            "Get:63 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 fpc all 3.0.4+dfsg-18ubuntu2 [23.9 kB]\n",
            "Get:64 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 fpc-source all 3.0.4+dfsg-18ubuntu2 [23.9 kB]\n",
            "Get:65 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libdw1 amd64 0.170-0.4ubuntu0.1 [203 kB]\n",
            "Get:66 http://archive.ubuntu.com/ubuntu bionic/main amd64 libbabeltrace1 amd64 1.5.5-1 [154 kB]\n",
            "Get:67 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 gdb amd64 8.1.1-0ubuntu1 [2,937 kB]\n",
            "Get:68 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 gdbserver amd64 8.1.1-0ubuntu1 [282 kB]\n",
            "Get:69 http://archive.ubuntu.com/ubuntu bionic/universe amd64 lazarus-ide-1.8 amd64 1.8.2+dfsg-3 [8,386 kB]\n",
            "Get:70 http://archive.ubuntu.com/ubuntu bionic/universe amd64 lazarus-ide-gtk2-1.8 amd64 1.8.2+dfsg-3 [14.1 MB]\n",
            "Get:71 http://archive.ubuntu.com/ubuntu bionic/universe amd64 lazarus-ide all 1.8.2+dfsg-3 [28.9 kB]\n",
            "Get:72 http://archive.ubuntu.com/ubuntu bionic/universe amd64 lazarus-src-1.8 all 1.8.2+dfsg-3 [15.6 MB]\n",
            "Get:73 http://archive.ubuntu.com/ubuntu bionic/universe amd64 lcl-nogui-1.8 amd64 1.8.2+dfsg-3 [6,637 kB]\n",
            "Get:74 http://archive.ubuntu.com/ubuntu bionic/universe amd64 lcl-gtk2-1.8 amd64 1.8.2+dfsg-3 [8,523 kB]\n",
            "Get:75 http://archive.ubuntu.com/ubuntu bionic/universe amd64 lcl-units-1.8 amd64 1.8.2+dfsg-3 [14.3 MB]\n",
            "Get:76 http://archive.ubuntu.com/ubuntu bionic/universe amd64 lcl-utils-1.8 amd64 1.8.2+dfsg-3 [6,694 kB]\n",
            "Get:77 http://archive.ubuntu.com/ubuntu bionic/universe amd64 lcl-1.8 amd64 1.8.2+dfsg-3 [28.9 kB]\n",
            "Get:78 http://archive.ubuntu.com/ubuntu bionic/universe amd64 lazarus-1.8 all 1.8.2+dfsg-3 [29.4 kB]\n",
            "Get:79 http://archive.ubuntu.com/ubuntu bionic/universe amd64 lazarus all 1.8.2+dfsg-3 [28.8 kB]\n",
            "Get:80 http://archive.ubuntu.com/ubuntu bionic/universe amd64 lazarus-doc-1.8 all 1.8.2+dfsg-3 [15.1 MB]\n",
            "Get:81 http://archive.ubuntu.com/ubuntu bionic/universe amd64 liba52-0.7.4 amd64 0.7.4-19 [35.2 kB]\n",
            "Get:82 http://archive.ubuntu.com/ubuntu bionic/universe amd64 liba52-0.7.4-dev amd64 0.7.4-19 [47.5 kB]\n",
            "Get:83 http://archive.ubuntu.com/ubuntu bionic/main amd64 libapr1 amd64 1.6.3-2 [90.9 kB]\n",
            "Get:84 http://archive.ubuntu.com/ubuntu bionic/main amd64 libaprutil1 amd64 1.6.1-2 [84.4 kB]\n",
            "Get:85 http://archive.ubuntu.com/ubuntu bionic/main amd64 libarchive-cpio-perl all 0.10-1 [9,644 B]\n",
            "Get:86 http://archive.ubuntu.com/ubuntu bionic/main amd64 libslang2-dev amd64 2.3.1a-3ubuntu1 [393 kB]\n",
            "Get:87 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libcaca-dev amd64 0.99.beta19-2ubuntu0.18.04.2 [747 kB]\n",
            "Get:88 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libfluidsynth1 amd64 1.1.9-1 [137 kB]\n",
            "Get:89 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libforms2 amd64 1.2.3-1.3 [327 kB]\n",
            "Get:90 http://archive.ubuntu.com/ubuntu bionic/main amd64 libxpm-dev amd64 1:3.5.12-1 [87.4 kB]\n",
            "Get:91 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libforms-dev amd64 1.2.3-1.3 [692 kB]\n",
            "Get:92 http://archive.ubuntu.com/ubuntu bionic/main amd64 libgail18 amd64 2.24.32-1ubuntu1 [14.2 kB]\n",
            "Get:93 http://archive.ubuntu.com/ubuntu bionic/main amd64 libgail-common amd64 2.24.32-1ubuntu1 [112 kB]\n",
            "Get:94 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libvpx-dev amd64 1.7.0-3ubuntu0.18.04.1 [932 kB]\n",
            "Get:95 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libgd-dev amd64 2.2.5-4ubuntu0.5 [246 kB]\n",
            "Get:96 http://archive.ubuntu.com/ubuntu bionic/main amd64 libgmpxx4ldbl amd64 2:6.1.2+dfsg-2 [8,964 B]\n",
            "Get:97 http://archive.ubuntu.com/ubuntu bionic/main amd64 libgmp-dev amd64 2:6.1.2+dfsg-2 [316 kB]\n",
            "Get:98 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libxdot4 amd64 2.40.1-2 [15.7 kB]\n",
            "Get:99 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libgvc6-plugins-gtk amd64 2.40.1-2 [18.2 kB]\n",
            "Get:100 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libgraphviz-dev amd64 2.40.1-2 [57.3 kB]\n",
            "Get:101 http://archive.ubuntu.com/ubuntu bionic/main amd64 libgtk2.0-bin amd64 2.24.32-1ubuntu1 [7,536 B]\n",
            "Get:102 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libmad0 amd64 0.15.1b-9ubuntu18.04.1 [64.6 kB]\n",
            "Get:103 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libmad0-dev amd64 0.15.1b-9ubuntu18.04.1 [64.4 kB]\n",
            "Get:104 http://archive.ubuntu.com/ubuntu bionic/main amd64 libsys-hostname-long-perl all 1.5-1 [11.7 kB]\n",
            "Get:105 http://archive.ubuntu.com/ubuntu bionic/main amd64 libmail-sendmail-perl all 0.80-1 [22.6 kB]\n",
            "Get:106 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libmikmod-config amd64 3.3.11.1-3 [5,184 B]\n",
            "Get:107 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libmikmod3 amd64 3.3.11.1-3 [113 kB]\n",
            "Get:108 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libmikmod-dev amd64 3.3.11.1-3 [196 kB]\n",
            "Get:109 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libmodplug1 amd64 1:0.8.9.0-1 [150 kB]\n",
            "Get:110 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libmodplug-dev amd64 1:0.8.9.0-1 [14.6 kB]\n",
            "Get:111 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libproxy-tools amd64 0.4.15-1ubuntu0.2 [5,320 B]\n",
            "Get:112 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libpulse-mainloop-glib0 amd64 1:11.1-1ubuntu7.11 [22.1 kB]\n",
            "Get:113 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libpulse-dev amd64 1:11.1-1ubuntu7.11 [81.5 kB]\n",
            "Get:114 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libsdl1.2debian amd64 1.2.15+dfsg2-0.1ubuntu0.1 [175 kB]\n",
            "Get:115 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libsdl-mixer1.2 amd64 1.2.12-14 [72.0 kB]\n",
            "Get:116 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libsdl1.2-dev amd64 1.2.15+dfsg2-0.1ubuntu0.1 [706 kB]\n",
            "Get:117 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libsdl-mixer1.2-dev amd64 1.2.12-14 [90.6 kB]\n",
            "Get:118 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libserf-1-1 amd64 1.3.9-6 [44.4 kB]\n",
            "Get:119 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libsvn1 amd64 1.9.7-4ubuntu1 [1,183 kB]\n",
            "Get:120 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libvlccore9 amd64 3.0.8-0ubuntu18.04.1 [434 kB]\n",
            "Get:121 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libvlc5 amd64 3.0.8-0ubuntu18.04.1 [68.0 kB]\n",
            "Get:122 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libvlc-bin amd64 3.0.8-0ubuntu18.04.1 [17.1 kB]\n",
            "Get:123 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 libvlc-dev amd64 3.0.8-0ubuntu18.04.1 [60.1 kB]\n",
            "Get:124 http://archive.ubuntu.com/ubuntu bionic/main amd64 x11proto-xf86dga-dev all 2018.4-4 [2,624 B]\n",
            "Get:125 http://archive.ubuntu.com/ubuntu bionic/main amd64 libxxf86dga-dev amd64 2:1.1.4-1 [17.6 kB]\n",
            "Get:126 http://archive.ubuntu.com/ubuntu bionic/universe amd64 subversion amd64 1.9.7-4ubuntu1 [834 kB]\n",
            "Get:127 http://archive.ubuntu.com/ubuntu bionic/universe amd64 timgm6mb-soundfont all 1.3-2 [5,423 kB]\n",
            "Get:128 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 libc6-dbg amd64 2.27-3ubuntu1.4 [5,163 kB]\n",
            "Get:129 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libdca0 amd64 0.0.5-10 [100.0 kB]\n",
            "Get:130 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libdca-dev amd64 0.0.5-10 [90.2 kB]\n",
            "Get:131 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libdts-dev amd64 0.0.5-10 [3,068 B]\n",
            "Fetched 166 MB in 11s (15.1 MB/s)\n",
            "Extracting templates from packages: 100%\n",
            "Preconfiguring packages ...\n",
            "Selecting previously unselected package libxxf86dga1:amd64.\n",
            "(Reading database ... 155013 files and directories currently installed.)\n",
            "Preparing to unpack .../000-libxxf86dga1_2%3a1.1.4-1_amd64.deb ...\n",
            "Unpacking libxxf86dga1:amd64 (2:1.1.4-1) ...\n",
            "Selecting previously unselected package libmagic-mgc.\n",
            "Preparing to unpack .../001-libmagic-mgc_1%3a5.32-2ubuntu0.4_amd64.deb ...\n",
            "Unpacking libmagic-mgc (1:5.32-2ubuntu0.4) ...\n",
            "Selecting previously unselected package libmagic1:amd64.\n",
            "Preparing to unpack .../002-libmagic1_1%3a5.32-2ubuntu0.4_amd64.deb ...\n",
            "Unpacking libmagic1:amd64 (1:5.32-2ubuntu0.4) ...\n",
            "Selecting previously unselected package file.\n",
            "Preparing to unpack .../003-file_1%3a5.32-2ubuntu0.4_amd64.deb ...\n",
            "Unpacking file (1:5.32-2ubuntu0.4) ...\n",
            "Selecting previously unselected package gettext-base.\n",
            "Preparing to unpack .../004-gettext-base_0.19.8.1-6ubuntu0.3_amd64.deb ...\n",
            "Unpacking gettext-base (0.19.8.1-6ubuntu0.3) ...\n",
            "Selecting previously unselected package libsigsegv2:amd64.\n",
            "Preparing to unpack .../005-libsigsegv2_2.12-1_amd64.deb ...\n",
            "Unpacking libsigsegv2:amd64 (2.12-1) ...\n",
            "Selecting previously unselected package m4.\n",
            "Preparing to unpack .../006-m4_1.4.18-1_amd64.deb ...\n",
            "Unpacking m4 (1.4.18-1) ...\n",
            "Selecting previously unselected package autoconf.\n",
            "Preparing to unpack .../007-autoconf_2.69-11_all.deb ...\n",
            "Unpacking autoconf (2.69-11) ...\n",
            "Selecting previously unselected package autotools-dev.\n",
            "Preparing to unpack .../008-autotools-dev_20180224.1_all.deb ...\n",
            "Unpacking autotools-dev (20180224.1) ...\n",
            "Selecting previously unselected package automake.\n",
            "Preparing to unpack .../009-automake_1%3a1.15.1-3ubuntu2_all.deb ...\n",
            "Unpacking automake (1:1.15.1-3ubuntu2) ...\n",
            "Selecting previously unselected package autopoint.\n",
            "Preparing to unpack .../010-autopoint_0.19.8.1-6ubuntu0.3_all.deb ...\n",
            "Unpacking autopoint (0.19.8.1-6ubuntu0.3) ...\n",
            "Selecting previously unselected package libtool.\n",
            "Preparing to unpack .../011-libtool_2.4.6-2_all.deb ...\n",
            "Unpacking libtool (2.4.6-2) ...\n",
            "Selecting previously unselected package dh-autoreconf.\n",
            "Preparing to unpack .../012-dh-autoreconf_17_all.deb ...\n",
            "Unpacking dh-autoreconf (17) ...\n",
            "Selecting previously unselected package libarchive-zip-perl.\n",
            "Preparing to unpack .../013-libarchive-zip-perl_1.60-1ubuntu0.1_all.deb ...\n",
            "Unpacking libarchive-zip-perl (1.60-1ubuntu0.1) ...\n",
            "Selecting previously unselected package libfile-stripnondeterminism-perl.\n",
            "Preparing to unpack .../014-libfile-stripnondeterminism-perl_0.040-1.1~build1_all.deb ...\n",
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            "Selecting previously unselected package libtimedate-perl.\n",
            "Preparing to unpack .../015-libtimedate-perl_2.3000-2_all.deb ...\n",
            "Unpacking libtimedate-perl (2.3000-2) ...\n",
            "Selecting previously unselected package dh-strip-nondeterminism.\n",
            "Preparing to unpack .../016-dh-strip-nondeterminism_0.040-1.1~build1_all.deb ...\n",
            "Unpacking dh-strip-nondeterminism (0.040-1.1~build1) ...\n",
            "Selecting previously unselected package gettext.\n",
            "Preparing to unpack .../017-gettext_0.19.8.1-6ubuntu0.3_amd64.deb ...\n",
            "Unpacking gettext (0.19.8.1-6ubuntu0.3) ...\n",
            "Selecting previously unselected package intltool-debian.\n",
            "Preparing to unpack .../018-intltool-debian_0.35.0+20060710.4_all.deb ...\n",
            "Unpacking intltool-debian (0.35.0+20060710.4) ...\n",
            "Selecting previously unselected package po-debconf.\n",
            "Preparing to unpack .../019-po-debconf_1.0.20_all.deb ...\n",
            "Unpacking po-debconf (1.0.20) ...\n",
            "Selecting previously unselected package debhelper.\n",
            "Preparing to unpack .../020-debhelper_11.1.6ubuntu2_all.deb ...\n",
            "Unpacking debhelper (11.1.6ubuntu2) ...\n",
            "Selecting previously unselected package fp-units-rtl-3.0.4:amd64.\n",
            "Preparing to unpack .../021-fp-units-rtl-3.0.4_3.0.4+dfsg-18ubuntu2_amd64.deb ...\n",
            "Unpacking fp-units-rtl-3.0.4:amd64 (3.0.4+dfsg-18ubuntu2) ...\n",
            "Selecting previously unselected package fp-compiler-3.0.4:amd64.\n",
            "Preparing to unpack .../022-fp-compiler-3.0.4_3.0.4+dfsg-18ubuntu2_amd64.deb ...\n",
            "Unpacking fp-compiler-3.0.4:amd64 (3.0.4+dfsg-18ubuntu2) ...\n",
            "Selecting previously unselected package fp-docs-3.0.4.\n",
            "Preparing to unpack .../023-fp-docs-3.0.4_3.0.4+dfsg-18ubuntu2_all.deb ...\n",
            "Unpacking fp-docs-3.0.4 (3.0.4+dfsg-18ubuntu2) ...\n",
            "Selecting previously unselected package fp-ide-3.0.4.\n",
            "Preparing to unpack .../024-fp-ide-3.0.4_3.0.4+dfsg-18ubuntu2_amd64.deb ...\n",
            "Unpacking fp-ide-3.0.4 (3.0.4+dfsg-18ubuntu2) ...\n",
            "Selecting previously unselected package fp-units-base-3.0.4:amd64.\n",
            "Preparing to unpack .../025-fp-units-base-3.0.4_3.0.4+dfsg-18ubuntu2_amd64.deb ...\n",
            "Unpacking fp-units-base-3.0.4:amd64 (3.0.4+dfsg-18ubuntu2) ...\n",
            "Selecting previously unselected package fp-units-db-3.0.4:amd64.\n",
            "Preparing to unpack .../026-fp-units-db-3.0.4_3.0.4+dfsg-18ubuntu2_amd64.deb ...\n",
            "Unpacking fp-units-db-3.0.4:amd64 (3.0.4+dfsg-18ubuntu2) ...\n",
            "Selecting previously unselected package fp-units-fcl-3.0.4:amd64.\n",
            "Preparing to unpack .../027-fp-units-fcl-3.0.4_3.0.4+dfsg-18ubuntu2_amd64.deb ...\n",
            "Unpacking fp-units-fcl-3.0.4:amd64 (3.0.4+dfsg-18ubuntu2) ...\n",
            "Selecting previously unselected package fp-units-fv-3.0.4:amd64.\n",
            "Preparing to unpack .../028-fp-units-fv-3.0.4_3.0.4+dfsg-18ubuntu2_amd64.deb ...\n",
            "Unpacking fp-units-fv-3.0.4:amd64 (3.0.4+dfsg-18ubuntu2) ...\n",
            "Selecting previously unselected package fp-units-gfx-3.0.4:amd64.\n",
            "Preparing to unpack .../029-fp-units-gfx-3.0.4_3.0.4+dfsg-18ubuntu2_amd64.deb ...\n",
            "Unpacking fp-units-gfx-3.0.4:amd64 (3.0.4+dfsg-18ubuntu2) ...\n",
            "Selecting previously unselected package libgtk2.0-common.\n",
            "Preparing to unpack .../030-libgtk2.0-common_2.24.32-1ubuntu1_all.deb ...\n",
            "Unpacking libgtk2.0-common (2.24.32-1ubuntu1) ...\n",
            "Selecting previously unselected package libgtk2.0-0:amd64.\n",
            "Preparing to unpack .../031-libgtk2.0-0_2.24.32-1ubuntu1_amd64.deb ...\n",
            "Unpacking libgtk2.0-0:amd64 (2.24.32-1ubuntu1) ...\n",
            "Selecting previously unselected package gir1.2-atk-1.0:amd64.\n",
            "Preparing to unpack .../032-gir1.2-atk-1.0_2.28.1-1_amd64.deb ...\n",
            "Unpacking gir1.2-atk-1.0:amd64 (2.28.1-1) ...\n",
            "Selecting previously unselected package gir1.2-freedesktop:amd64.\n",
            "Preparing to unpack .../033-gir1.2-freedesktop_1.56.1-1_amd64.deb ...\n",
            "Unpacking gir1.2-freedesktop:amd64 (1.56.1-1) ...\n",
            "Selecting previously unselected package gir1.2-gdkpixbuf-2.0:amd64.\n",
            "Preparing to unpack .../034-gir1.2-gdkpixbuf-2.0_2.36.11-2_amd64.deb ...\n",
            "Unpacking gir1.2-gdkpixbuf-2.0:amd64 (2.36.11-2) ...\n",
            "Selecting previously unselected package libpangoxft-1.0-0:amd64.\n",
            "Preparing to unpack .../035-libpangoxft-1.0-0_1.40.14-1ubuntu0.1_amd64.deb ...\n",
            "Unpacking libpangoxft-1.0-0:amd64 (1.40.14-1ubuntu0.1) ...\n",
            "Selecting previously unselected package gir1.2-pango-1.0:amd64.\n",
            "Preparing to unpack .../036-gir1.2-pango-1.0_1.40.14-1ubuntu0.1_amd64.deb ...\n",
            "Unpacking gir1.2-pango-1.0:amd64 (1.40.14-1ubuntu0.1) ...\n",
            "Selecting previously unselected package gir1.2-gtk-2.0.\n",
            "Preparing to unpack .../037-gir1.2-gtk-2.0_2.24.32-1ubuntu1_amd64.deb ...\n",
            "Unpacking gir1.2-gtk-2.0 (2.24.32-1ubuntu1) ...\n",
            "Selecting previously unselected package libgdk-pixbuf2.0-dev.\n",
            "Preparing to unpack .../038-libgdk-pixbuf2.0-dev_2.36.11-2_amd64.deb ...\n",
            "Unpacking libgdk-pixbuf2.0-dev (2.36.11-2) ...\n",
            "Selecting previously unselected package libcairo-script-interpreter2:amd64.\n",
            "Preparing to unpack .../039-libcairo-script-interpreter2_1.15.10-2ubuntu0.1_amd64.deb ...\n",
            "Unpacking libcairo-script-interpreter2:amd64 (1.15.10-2ubuntu0.1) ...\n",
            "Selecting previously unselected package libpixman-1-dev:amd64.\n",
            "Preparing to unpack .../040-libpixman-1-dev_0.34.0-2_amd64.deb ...\n",
            "Unpacking libpixman-1-dev:amd64 (0.34.0-2) ...\n",
            "Selecting previously unselected package libxcb-shm0-dev:amd64.\n",
            "Preparing to unpack .../041-libxcb-shm0-dev_1.13-2~ubuntu18.04_amd64.deb ...\n",
            "Unpacking libxcb-shm0-dev:amd64 (1.13-2~ubuntu18.04) ...\n",
            "Selecting previously unselected package libcairo2-dev:amd64.\n",
            "Preparing to unpack .../042-libcairo2-dev_1.15.10-2ubuntu0.1_amd64.deb ...\n",
            "Unpacking libcairo2-dev:amd64 (1.15.10-2ubuntu0.1) ...\n",
            "Selecting previously unselected package libpango1.0-dev.\n",
            "Preparing to unpack .../043-libpango1.0-dev_1.40.14-1ubuntu0.1_amd64.deb ...\n",
            "Unpacking libpango1.0-dev (1.40.14-1ubuntu0.1) ...\n",
            "Selecting previously unselected package libatk1.0-dev:amd64.\n",
            "Preparing to unpack .../044-libatk1.0-dev_2.28.1-1_amd64.deb ...\n",
            "Unpacking libatk1.0-dev:amd64 (2.28.1-1) ...\n",
            "Selecting previously unselected package x11proto-xinerama-dev.\n",
            "Preparing to unpack .../045-x11proto-xinerama-dev_2018.4-4_all.deb ...\n",
            "Unpacking x11proto-xinerama-dev (2018.4-4) ...\n",
            "Selecting previously unselected package libxinerama-dev:amd64.\n",
            "Preparing to unpack .../046-libxinerama-dev_2%3a1.1.3-1_amd64.deb ...\n",
            "Unpacking libxinerama-dev:amd64 (2:1.1.3-1) ...\n",
            "Selecting previously unselected package x11proto-randr-dev.\n",
            "Preparing to unpack .../047-x11proto-randr-dev_2018.4-4_all.deb ...\n",
            "Unpacking x11proto-randr-dev (2018.4-4) ...\n",
            "Selecting previously unselected package libxrandr-dev:amd64.\n",
            "Preparing to unpack .../048-libxrandr-dev_2%3a1.5.1-1_amd64.deb ...\n",
            "Unpacking libxrandr-dev:amd64 (2:1.5.1-1) ...\n",
            "Selecting previously unselected package libxcursor-dev:amd64.\n",
            "Preparing to unpack .../049-libxcursor-dev_1%3a1.1.15-1_amd64.deb ...\n",
            "Unpacking libxcursor-dev:amd64 (1:1.1.15-1) ...\n",
            "Selecting previously unselected package x11proto-composite-dev.\n",
            "Preparing to unpack .../050-x11proto-composite-dev_1%3a2018.4-4_all.deb ...\n",
            "Unpacking x11proto-composite-dev (1:2018.4-4) ...\n",
            "Selecting previously unselected package libxcomposite-dev:amd64.\n",
            "Preparing to unpack .../051-libxcomposite-dev_1%3a0.4.4-2_amd64.deb ...\n",
            "Unpacking libxcomposite-dev:amd64 (1:0.4.4-2) ...\n",
            "Selecting previously unselected package libxml2-utils.\n",
            "Preparing to unpack .../052-libxml2-utils_2.9.4+dfsg1-6.1ubuntu1.4_amd64.deb ...\n",
            "Unpacking libxml2-utils (2.9.4+dfsg1-6.1ubuntu1.4) ...\n",
            "Selecting previously unselected package libgtk2.0-dev.\n",
            "Preparing to unpack .../053-libgtk2.0-dev_2.24.32-1ubuntu1_amd64.deb ...\n",
            "Unpacking libgtk2.0-dev (2.24.32-1ubuntu1) ...\n",
            "Selecting previously unselected package fp-units-gtk2-3.0.4:amd64.\n",
            "Preparing to unpack .../054-fp-units-gtk2-3.0.4_3.0.4+dfsg-18ubuntu2_amd64.deb ...\n",
            "Unpacking fp-units-gtk2-3.0.4:amd64 (3.0.4+dfsg-18ubuntu2) ...\n",
            "Selecting previously unselected package fp-units-math-3.0.4:amd64.\n",
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            "update-alternatives: using /usr/lib/x86_64-linux-gnu/fpc/3.0.4 to provide /usr/lib/x86_64-linux-gnu/fpc/default (fp-utils) in auto mode\n",
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            "update-alternatives: using /usr/bin/x86_64-linux-gnu-fpc-3.0.4 to provide /usr/bin/fpc (fpc) in auto mode\n",
            "update-alternatives: using /etc/fpc-3.0.4.cfg to provide /etc/fpc.cfg (fpc.cfg) in auto mode\n",
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            "update-alternatives: using /usr/lib/lazarus/1.8.2 to provide /usr/lib/lazarus/default (lazarus) in auto mode\n",
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            "update-alternatives: using /usr/bin/automake-1.15 to provide /usr/bin/automake (automake) in auto mode\n",
            "Setting up libvlc-dev:amd64 (3.0.8-0ubuntu18.04.1) ...\n",
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            "Setting up libpango1.0-dev (1.40.14-1ubuntu0.1) ...\n",
            "Setting up gdb (8.1.1-0ubuntu1) ...\n",
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            "Setting up gir1.2-gtk-2.0 (2.24.32-1ubuntu1) ...\n",
            "Setting up libgtk2.0-bin (2.24.32-1ubuntu1) ...\n",
            "Setting up libtool (2.4.6-2) ...\n",
            "Setting up lazarus-ide-1.8 (1.8.2+dfsg-3) ...\n",
            "update-alternatives: using /usr/lib/lazarus/1.8.2/startlazarus to provide /usr/bin/lazarus-ide (lazarus-ide) in auto mode\n",
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            "Setting up lcl-nogui-1.8 (1.8.2+dfsg-3) ...\n",
            "Setting up libgtk2.0-dev (2.24.32-1ubuntu1) ...\n",
            "Setting up lazarus-ide-gtk2-1.8 (1.8.2+dfsg-3) ...\n",
            "update-alternatives: using /usr/lib/lazarus/1.8.2/lazarus-gtk2 to provide /usr/lib/lazarus/1.8.2/lazarus (lazarus-1.8.2) in auto mode\n",
            "Setting up subversion (1.9.7-4ubuntu1) ...\n",
            "Setting up fp-units-gtk2-3.0.4:amd64 (3.0.4+dfsg-18ubuntu2) ...\n",
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            "Setting up fpc-3.0.4 (3.0.4+dfsg-18ubuntu2) ...\n",
            "Setting up lcl-gtk2-1.8 (1.8.2+dfsg-3) ...\n",
            "Setting up lcl-units-1.8 (1.8.2+dfsg-3) ...\n",
            "Setting up fpc (3.0.4+dfsg-18ubuntu2) ...\n",
            "Setting up lcl-1.8 (1.8.2+dfsg-3) ...\n",
            "Setting up lazarus-1.8 (1.8.2+dfsg-3) ...\n",
            "Setting up lazarus (1.8.2+dfsg-3) ...\n",
            "Setting up dh-autoreconf (17) ...\n",
            "Setting up debhelper (11.1.6ubuntu2) ...\n",
            "Setting up dh-strip-nondeterminism (0.040-1.1~build1) ...\n",
            "Processing triggers for libc-bin (2.27-3ubuntu1.3) ...\n",
            "/sbin/ldconfig.real: /usr/local/lib/python3.7/dist-packages/ideep4py/lib/libmkldnn.so.0 is not a symbolic link\n",
            "\n",
            "Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n",
            "Processing triggers for mime-support (3.60ubuntu1) ...\n",
            "Processing triggers for libvlc-bin:amd64 (3.0.8-0ubuntu18.04.1) ...\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qhr-tY5c1o3J",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "50345580-b2ab-4722-82c0-318378bb1928"
      },
      "source": [
        "!git clone https://github.com/joaopauloschuler/neural-api.git"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'neural-api'...\n",
            "remote: Enumerating objects: 2372, done.\u001b[K\n",
            "remote: Counting objects: 100% (494/494), done.\u001b[K\n",
            "remote: Compressing objects: 100% (370/370), done.\u001b[K\n",
            "remote: Total 2372 (delta 340), reused 236 (delta 124), pack-reused 1878\u001b[K\n",
            "Receiving objects: 100% (2372/2372), 4.58 MiB | 10.38 MiB/s, done.\n",
            "Resolving deltas: 100% (1585/1585), done.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8htgbUo9744q",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "41481d70-ed29-4853-cbf3-c3babd67fb89"
      },
      "source": [
        "!svn checkout https://svn.code.sf.net/p/lazarus-ccr/svn/components/multithreadprocs mtprocs"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "A    mtprocs/examples\n",
            "A    mtprocs/examples/parallelloop1.lpr\n",
            "A    mtprocs/examples/parallelloop_nested1.lpi\n",
            "A    mtprocs/examples/parallelloop_nested1.lpr\n",
            "A    mtprocs/examples/recursivemtp1.lpr\n",
            "A    mtprocs/examples/simplemtp1.lpr\n",
            "A    mtprocs/examples/parallelloop1.lpi\n",
            "A    mtprocs/examples/recursivemtp1.lpi\n",
            "A    mtprocs/examples/simplemtp1.lpi\n",
            "A    mtprocs/examples/testmtp1.lpi\n",
            "A    mtprocs/examples/testmtp1.lpr\n",
            "A    mtprocs/Readme.txt\n",
            "A    mtprocs/mtprocs.pas\n",
            "A    mtprocs/mtpcpu.pas\n",
            "A    mtprocs/multithreadprocslaz.lpk\n",
            "A    mtprocs/mtputils.pas\n",
            "A    mtprocs/multithreadprocslaz.pas\n",
            "Checked out revision 8093.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NYDMPdbn7W9w",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "49e5e05b-8c6e-4f5b-dd5a-55cfe5013f74"
      },
      "source": [
        "!lazbuild mtprocs/multithreadprocslaz.lpk"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "CopySecondaryConfigFile /etc/lazarus/environmentoptions.xml -> /root/.lazarus/environmentoptions.xml\n",
            "Hint: (lazarus) [RunTool] /usr/bin/fpc \"-iWTOTP\"\n",
            "Hint: (lazarus) [RunTool] /usr/bin/fpc \"-va\" \"compilertest.pas\"\n",
            "Hint: (lazarus) Missing state file of MultiThreadProcsLaz 1.2.1: /content/mtprocs/lib/x86_64-linux/MultiThreadProcsLaz.compiled\n",
            "Hint: (lazarus) [RunTool] /usr/bin/fpc \"-iWTOTP\" \"-Px86_64\" \"-Tlinux\"\n",
            "Hint: (lazarus) [RunTool] /usr/bin/fpc \"-va\" \"-Px86_64\" \"-Tlinux\" \"compilertest.pas\"\n",
            "Info: (lazarus) Execute Title=\"Compile package MultiThreadProcsLaz 1.2.1\"\n",
            "Info: (lazarus) Working Directory=\"/content/mtprocs/\"\n",
            "Info: (lazarus) Executable=\"/usr/bin/fpc\"\n",
            "Info: (lazarus) Param[0]=\"-B\"\n",
            "Info: (lazarus) Param[1]=\"-MObjFPC\"\n",
            "Info: (lazarus) Param[2]=\"-Scghi\"\n",
            "Info: (lazarus) Param[3]=\"-Cg\"\n",
            "Info: (lazarus) Param[4]=\"-O1\"\n",
            "Info: (lazarus) Param[5]=\"-g\"\n",
            "Info: (lazarus) Param[6]=\"-gl\"\n",
            "Info: (lazarus) Param[7]=\"-l\"\n",
            "Info: (lazarus) Param[8]=\"-vewnhibq\"\n",
            "Info: (lazarus) Param[9]=\"-Fu/usr/lib/lazarus/1.8.2/packager/units/x86_64-linux\"\n",
            "Info: (lazarus) Param[10]=\"-Fu/content/mtprocs/\"\n",
            "Info: (lazarus) Param[11]=\"-FU/content/mtprocs/lib/x86_64-linux/\"\n",
            "Info: (lazarus) Param[12]=\"multithreadprocslaz.pas\"\n",
            "Hint: (11030) Start of reading config file /etc/fpc.cfg\n",
            "Hint: (11031) End of reading config file /etc/fpc.cfg\n",
            "Free Pascal Compiler version 3.0.4+dfsg-18ubuntu2 [2018/08/29] for x86_64\n",
            "Copyright (c) 1993-2017 by Florian Klaempfl and others\n",
            "(1002) Target OS: Linux for x86-64\n",
            "(3104) Compiling multithreadprocslaz.pas\n",
            "(3104) Compiling mtprocs.pas\n",
            "(3104) Compiling mtpcpu.pas\n",
            "(3104) Compiling mtputils.pas\n",
            "/content/mtprocs/mtputils.pas(40,43) Hint: (5024) Parameter \"Data\" not used\n",
            "/content/mtprocs/multithreadprocslaz.pas(10,10) Hint: (5023) Unit \"MTPUtils\" not used in MultiThreadProcsLaz\n",
            "/content/mtprocs/multithreadprocslaz.pas(10,20) Hint: (5023) Unit \"MTPCPU\" not used in MultiThreadProcsLaz\n",
            "(1008) 1215 lines compiled, 0.1 sec\n",
            "(1022) 5 hint(s) issued\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H_mKELt35Hym",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "42785862-c8f2-4c4f-f8f5-a60ad88d51b2"
      },
      "source": [
        "!ls -l neural-api/examples/SimpleImageClassifier/SimpleImageClassifier.lpi"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "-rw-r--r-- 1 root root 5694 Sep 23 08:37 neural-api/examples/SimpleImageClassifier/SimpleImageClassifier.lpi\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_Xye-mYy2UHP",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "dedb9a91-c464-4cf8-ca6a-d5b9ac3379f6"
      },
      "source": [
        "!lazbuild neural-api/examples/SimpleImageClassifier/SimpleImageClassifier.lpi"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Hint: (lazarus) [RunTool] /usr/bin/fpc \"-iWTOTP\"\n",
            "Hint: (lazarus) [RunTool] /usr/bin/fpc \"-va\" \"compilertest.pas\"\n",
            "TProject.DoLoadStateFile Statefile not found: /content/neural-api/bin/x86_64-linux/units/SimpleImageClassifier.compiled\n",
            "Hint: (lazarus) [RunTool] /usr/bin/fpc \"-iWTOTP\" \"-Px86_64\" \"-Tlinux\"\n",
            "Hint: (lazarus) [RunTool] /usr/bin/fpc \"-va\" \"-Px86_64\" \"-Tlinux\" \"compilertest.pas\"\n",
            "Info: (lazarus) Execute Title=\"Compile Project, Mode: Default, Target: /content/neural-api/bin/x86_64-linux/bin/SimpleImageClassifier\"\n",
            "Info: (lazarus) Working Directory=\"/content/neural-api/examples/SimpleImageClassifier/\"\n",
            "Info: (lazarus) Executable=\"/usr/bin/fpc\"\n",
            "Info: (lazarus) Param[0]=\"-B\"\n",
            "Info: (lazarus) Param[1]=\"-MObjFPC\"\n",
            "Info: (lazarus) Param[2]=\"-Scghi\"\n",
            "Info: (lazarus) Param[3]=\"-Cg\"\n",
            "Info: (lazarus) Param[4]=\"-O3\"\n",
            "Info: (lazarus) Param[5]=\"-l\"\n",
            "Info: (lazarus) Param[6]=\"-vewnhibq\"\n",
            "Info: (lazarus) Param[7]=\"-Fi/content/neural-api/neural\"\n",
            "Info: (lazarus) Param[8]=\"-Fi/content/neural-api/bin/x86_64-linux/units\"\n",
            "Info: (lazarus) Param[9]=\"-Fu/content/neural-api/neural\"\n",
            "Info: (lazarus) Param[10]=\"-Fu/usr/lib/lazarus/1.8.2/lcl/units/x86_64-linux\"\n",
            "Info: (lazarus) Param[11]=\"-Fu/usr/lib/lazarus/1.8.2/components/lazutils/lib/x86_64-linux\"\n",
            "Info: (lazarus) Param[12]=\"-Fu/content/mtprocs/lib/x86_64-linux\"\n",
            "Info: (lazarus) Param[13]=\"-Fu/usr/lib/lazarus/1.8.2/packager/units/x86_64-linux\"\n",
            "Info: (lazarus) Param[14]=\"-Fu/content/neural-api/examples/SimpleImageClassifier/\"\n",
            "Info: (lazarus) Param[15]=\"-FU/content/neural-api/bin/x86_64-linux/units/\"\n",
            "Info: (lazarus) Param[16]=\"-FE/content/neural-api/bin/x86_64-linux/bin/\"\n",
            "Info: (lazarus) Param[17]=\"-dUseCThreads\"\n",
            "Info: (lazarus) Param[18]=\"-dAVX\"\n",
            "Info: (lazarus) Param[19]=\"-dRelease\"\n",
            "Info: (lazarus) Param[20]=\"SimpleImageClassifier.lpr\"\n",
            "Hint: (11030) Start of reading config file /etc/fpc.cfg\n",
            "Compiling Release Version\n",
            "Hint: (11031) End of reading config file /etc/fpc.cfg\n",
            "Free Pascal Compiler version 3.0.4+dfsg-18ubuntu2 [2018/08/29] for x86_64\n",
            "Copyright (c) 1993-2017 by Florian Klaempfl and others\n",
            "(1002) Target OS: Linux for x86-64\n",
            "(3104) Compiling SimpleImageClassifier.lpr\n",
            "(3104) Compiling /content/neural-api/neural/neuralnetwork.pas\n",
            "(3104) Compiling /content/neural-api/neural/neuralvolume.pas\n",
            "/content/neural-api/neural/neuralnetwork.inc(34,4) Warning: (2010) Misplaced global compiler switch, ignored\n",
            "/content/neural-api/neural/neuralnetwork.inc(38,4) Warning: (2010) Misplaced global compiler switch, ignored\n",
            "/content/neural-api/neural/neuralvolume.pas(464,19) Warning: (3057) An inherited method is hidden by \"constructor Create(LongInt;LongInt;LongInt;LongInt;Boolean=\"TRUE\");\"\n",
            "(3104) Compiling /content/neural-api/neural/neuralbit.pas\n",
            "/content/neural-api/neural/neuralbit.pas(722,19) Hint: (5058) Variable \"VARS\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralvolume.pas(560,31) Hint: (5024) Parameter \"x\" not used\n",
            "/content/neural-api/neural/neuralvolume.pas(2076,37) Hint: (5058) Variable \"V\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralvolume.pas(398,43) Hint: (5024) Parameter \"S\" not used\n",
            "/content/neural-api/neural/neuralvolume.pas(2329,19) Hint: (5058) Variable \"pInput\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralvolume.pas(2335,21) Hint: (5058) Variable \"Original\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralvolume.pas(2353,27) Hint: (5058) Variable \"Original\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralvolume.pas(3411,16) Hint: (5058) Variable \"Original\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralvolume.pas(4852,3) Note: (5027) Local variable \"version\" is assigned but never used\n",
            "Hint: (3123) \"inherited\" not yet supported inside inline procedure/function\n",
            "Hint: (3124) Inlining disabled\n",
            "Hint: (3123) \"inherited\" not yet supported inside inline procedure/function\n",
            "Hint: (3124) Inlining disabled\n",
            "Hint: (3123) \"inherited\" not yet supported inside inline procedure/function\n",
            "Hint: (3124) Inlining disabled\n",
            "Hint: (3123) \"inherited\" not yet supported inside inline procedure/function\n",
            "Hint: (3124) Inlining disabled\n",
            "Hint: (3123) \"inherited\" not yet supported inside inline procedure/function\n",
            "Hint: (3124) Inlining disabled\n",
            "Hint: (3123) \"inherited\" not yet supported inside inline procedure/function\n",
            "Hint: (3124) Inlining disabled\n",
            "Hint: (3123) \"inherited\" not yet supported inside inline procedure/function\n",
            "Hint: (3124) Inlining disabled\n",
            "Hint: (3123) \"inherited\" not yet supported inside inline procedure/function\n",
            "Hint: (3124) Inlining disabled\n",
            "Hint: (3123) \"inherited\" not yet supported inside inline procedure/function\n",
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            "(3104) Compiling /content/neural-api/neural/neuralgeneric.pas\n",
            "(3104) Compiling /content/neural-api/neural/neuralbyteprediction.pas\n",
            "(3104) Compiling /content/neural-api/neural/neuralabfun.pas\n",
            "(3104) Compiling /content/neural-api/neural/neuralab.pas\n",
            "/content/neural-api/neural/neuralabfun.pas(615,71) Hint: (5057) Local variable \"predictState\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralabfun.pas(702,32) Note: (5027) Local variable \"NonZeroErrorsCount\" is assigned but never used\n",
            "/content/neural-api/neural/neuralabfun.pas(1027,9) Warning: (5036) Local variable \"PermissibleErrors\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralabfun.pas(1021,83) Hint: (5057) Local variable \"efeito\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralabfun.pas(669,3) Note: (5025) Local variable \"csUnitaryTests\" not used\n",
            "/content/neural-api/neural/neuralabfun.pas(670,3) Note: (5025) Local variable \"csBinaryTests\" not used\n",
            "(3104) Compiling /content/neural-api/neural/neuralcache.pas\n",
            "/content/neural-api/neural/neuralcache.pas(206,1) Warning: (5059) Function result variable does not seem to initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(370,1) Warning: (5059) Function result variable does not seem to initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(373,49) Hint: (5058) Variable \"pState\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(429,111) Hint: (5057) Local variable \"Effect\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(540,69) Hint: (5057) Local variable \"NextState\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(522,25) Hint: (5058) Variable \"PActions\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(724,21) Warning: (5036) Local variable \"idxCache\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(760,43) Hint: (5058) Variable \"stateFound\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(780,69) Hint: (5058) Variable \"stateFound\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(863,3) Note: (5027) Local variable \"version\" is assigned but never used\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(864,3) Note: (5027) Local variable \"evaluation\" is assigned but never used\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(865,3) Note: (5027) Local variable \"pActionLen\" is assigned but never used\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(866,3) Note: (5027) Local variable \"pStatelen\" is assigned but never used\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(965,23) Hint: (5057) Local variable \"PredictedState\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(978,36) Hint: (5058) Variable \"NG\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(980,29) Hint: (5057) Local variable \"Effect\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(1081,42) Hint: (5024) Parameter \"PredictedBytePos\" not used\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(1126,35) Hint: (5058) Variable \"PNextStates\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(1129,43) Hint: (5058) Variable \"PCurrentStates\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(1129,27) Hint: (5058) Variable \"PActions\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(1126,22) Hint: (5058) Variable \"pred\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(1292,35) Hint: (5057) Local variable \"NextState\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(1247,37) Hint: (5058) Variable \"PCurrentStates\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(1248,25) Hint: (5058) Variable \"PActions\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(1329,65) Hint: (5057) Local variable \"NextState\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(1316,41) Hint: (5058) Variable \"PCurrentStates\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(1316,25) Hint: (5058) Variable \"PActions\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralbyteprediction.pas(50,32) Hint: (5023) Unit \"neuralvolume\" not used in neuralbyteprediction\n",
            "/content/neural-api/neural/neuralnetwork.pas(1005,17) Warning: (3057) An inherited method is hidden by \"constructor Create(LongInt;LongInt;LongInt=\"0\");\"\n",
            "/content/neural-api/neural/neuralnetwork.pas(1072,17) Warning: (3057) An inherited method is hidden by \"constructor Create(LongInt;LongInt=\"0\");\"\n",
            "/content/neural-api/neural/neuralnetwork.pas(1078,17) Warning: (3057) An inherited method is hidden by \"constructor Create(LongInt;LongInt=\"0\");\"\n",
            "/content/neural-api/neural/neuralnetwork.pas(1084,17) Warning: (3057) An inherited method is hidden by \"constructor Create(LongInt;LongInt=\"0\");\"\n",
            "/content/neural-api/neural/neuralnetwork.pas(1615,17) Warning: (3057) An inherited method is hidden by \"constructor Create(TNNet;Word;Word;LongInt);\"\n",
            "/content/neural-api/neural/neuralnetwork.pas(6250,3) Note: (5025) Local variable \"I\" not used\n",
            "/content/neural-api/neural/neuralnetwork.pas(7092,3) Note: (5025) Local variable \"OutX\" not used\n",
            "/content/neural-api/neural/neuralnetwork.pas(7092,9) Note: (5025) Local variable \"OutY\" not used\n",
            "/content/neural-api/neural/neuralnetwork.pas(7283,3) Note: (5027) Local variable \"Len\" is assigned but never used\n",
            "/content/neural-api/neural/neuralnetwork.pas(9621,65) Warning: (5089) Local variable \"aL\" of a managed type does not seem to be initialized\n",
            "/content/neural-api/neural/neuralnetwork.pas(9622,77) Warning: (5089) Local variable \"aIdx\" of a managed type does not seem to be initialized\n",
            "/content/neural-api/neural/neuralnetwork.pas(12793,21) Warning: (5036) Local variable \"idxCache\" does not seem to be initialized\n",
            "/content/neural-api/neural/neuralnetwork.pas(12812,34) Hint: (5058) Variable \"stateFound\" does not seem to be initialized\n",
            "Hint: (3123) \"inherited\" not yet supported inside inline procedure/function\n",
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            "Hint: (3124) Inlining disabled\n",
            "Hint: (3123) \"inherited\" not yet supported inside inline procedure/function\n",
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            "Hint: (3124) Inlining disabled\n",
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            "Hint: (3124) Inlining disabled\n",
            "/content/neural-api/neural/neuralnetwork.pas(87,28) Hint: (5023) Unit \"syncobjs\" not used in neuralnetwork\n",
            "(3104) Compiling /content/neural-api/neural/neuraldatasets.pas\n",
            "/content/neural-api/neural/neuralnetwork.inc(34,4) Warning: (2010) Misplaced global compiler switch, ignored\n",
            "/content/neural-api/neural/neuralnetwork.inc(38,4) Warning: (2010) Misplaced global compiler switch, ignored\n",
            "(3104) Compiling /content/neural-api/neural/neuralthread.pas\n",
            "Hint: (3123) \"inherited\" not yet supported inside inline procedure/function\n",
            "Hint: (3124) Inlining disabled\n",
            "Hint: (3123) \"inherited\" not yet supported inside inline procedure/function\n",
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            "Hint: (3123) \"inherited\" not yet supported inside inline procedure/function\n",
            "Hint: (3124) Inlining disabled\n",
            "/content/neural-api/neural/neuraldatasets.pas(151,46) Hint: (5024) Parameter \"FolderName\" not used\n",
            "/content/neural-api/neural/neuraldatasets.pas(576,3) Note: (5025) Local variable \"SourceVolume\" not used\n",
            "(3104) Compiling /content/neural-api/neural/neuralfit.pas\n",
            "/content/neural-api/neural/neuralfit.pas(280,48) Hint: (5024) Parameter \"ThreadId\" not used\n",
            "/content/neural-api/neural/neuralfit.pas(281,46) Hint: (5024) Parameter \"ThreadId\" not used\n",
            "/content/neural-api/neural/neuralfit.pas(282,48) Hint: (5024) Parameter \"ThreadId\" not used\n",
            "/content/neural-api/neural/neuralfit.pas(283,44) Hint: (5024) Parameter \"ThreadId\" not used\n",
            "/content/neural-api/neural/neuralfit.pas(241,33) Hint: (5024) Parameter \"Idx\" not used\n",
            "/content/neural-api/neural/neuralfit.pas(242,49) Hint: (5024) Parameter \"ThreadId\" not used\n",
            "/content/neural-api/neural/neuralfit.pas(243,43) Hint: (5024) Parameter \"ThreadId\" not used\n",
            "/content/neural-api/neural/neuralfit.pas(175,72) Hint: (5024) Parameter \"ThreadId\" not used\n",
            "/content/neural-api/neural/neuralfit.pas(217,32) Hint: (5024) Parameter \"Idx\" not used\n",
            "/content/neural-api/neural/neuralfit.pas(217,46) Hint: (5024) Parameter \"ThreadId\" not used\n",
            "/content/neural-api/neural/neuralfit.pas(218,48) Hint: (5024) Parameter \"ThreadId\" not used\n",
            "/content/neural-api/neural/neuralfit.pas(219,42) Hint: (5024) Parameter \"ThreadId\" not used\n",
            "/content/neural-api/neural/neuralfit.pas(192,36) Hint: (5024) Parameter \"threadnum\" not used\n",
            "/content/neural-api/neural/neuralfit.pas(193,37) Hint: (5024) Parameter \"threadnum\" not used\n",
            "/content/neural-api/neural/neuralfit.pas(276,36) Hint: (5024) Parameter \"threadnum\" not used\n",
            "/content/neural-api/neural/neuralfit.pas(277,37) Hint: (5024) Parameter \"threadnum\" not used\n",
            "/content/neural-api/examples/SimpleImageClassifier/SimpleImageClassifier.lpr(11,3) Hint: (5023) Unit \"math\" not used in SimpleImageClassifier\n",
            "(9015) Linking /content/neural-api/bin/x86_64-linux/bin/SimpleImageClassifier\n",
            "/usr/bin/ld.bfd: warning: /content/neural-api/bin/x86_64-linux/bin/link.res contains output sections; did you forget -T?\n",
            "(1008) 35358 lines compiled, 1.8 sec\n",
            "(1021) 17 warning(s) issued\n",
            "(1022) 161 hint(s) issued\n",
            "(1023) 13 note(s) issued\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7xWWg1E1P2pm",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "55c25722-d62e-461c-b283-2c2ee37e776a"
      },
      "source": [
        "ls -l neural-api/bin/x86_64-linux/bin/SimpleImageClassifier"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "-rwxr-xr-x 1 root root 1951024 Sep 23 08:43 \u001b[0m\u001b[01;32mneural-api/bin/x86_64-linux/bin/SimpleImageClassifier\u001b[0m*\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WBxvm6S4-FtJ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e7b5f828-592e-4df3-87ad-53b017d4fd7c"
      },
      "source": [
        "import os\n",
        "import urllib.request\n",
        "\n",
        "if not os.path.isfile('cifar-10-batches-bin/data_batch_1.bin'):\n",
        "  print(\"Downloading CIFAR-10 Files\")\n",
        "  url = 'https://www.cs.toronto.edu/~kriz/cifar-10-binary.tar.gz'\n",
        "  urllib.request.urlretrieve(url, './file.tar')"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading CIFAR-10 Files\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SpfaXVrrKgd0",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1e92f226-019f-4857-af68-79cd62ddfd19"
      },
      "source": [
        "ls -l"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "total 166080\n",
            "-rw-r--r-- 1 root root 170052171 Sep 23 08:46 file.tar\n",
            "drwxr-xr-x 5 root root      4096 Sep 23 08:39 \u001b[0m\u001b[01;34mmtprocs\u001b[0m/\n",
            "drwxr-xr-x 7 root root      4096 Sep 23 08:42 \u001b[01;34mneural-api\u001b[0m/\n",
            "drwxr-xr-x 1 root root      4096 Sep 16 13:40 \u001b[01;34msample_data\u001b[0m/\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "doqZbQkqKy9I",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "844e0f45-1184-49ab-8613-5353f5e8ad5b"
      },
      "source": [
        "!tar -xvf ./file.tar"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "cifar-10-batches-bin/\n",
            "cifar-10-batches-bin/data_batch_1.bin\n",
            "cifar-10-batches-bin/batches.meta.txt\n",
            "cifar-10-batches-bin/data_batch_3.bin\n",
            "cifar-10-batches-bin/data_batch_4.bin\n",
            "cifar-10-batches-bin/test_batch.bin\n",
            "cifar-10-batches-bin/readme.html\n",
            "cifar-10-batches-bin/data_batch_5.bin\n",
            "cifar-10-batches-bin/data_batch_2.bin\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VWB54wU5B1I9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "4008e5b2-ae01-4ba6-a548-1fba01228ea4"
      },
      "source": [
        "if not os.path.isfile('./data_batch_1.bin'):\n",
        "  print(\"Copying files to current folder\")\n",
        "  !cp ./cifar-10-batches-bin/* ./"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Copying files to current folder\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X5bpFXiaC_PY",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f7eb3f66-7944-4bed-ee64-1aa4558b3d89"
      },
      "source": [
        "if os.path.isfile('./data_batch_1.bin'):\n",
        "  print(\"RUNNING!\")\n",
        "  !neural-api/bin/x86_64-linux/bin/SimpleImageClassifier"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "RUNNING!\n",
            "Creating Neural Network...\n",
            " Layers: 12\n",
            " Neurons:331\n",
            " Weights:162498 Sum:  -19.536575\n",
            "Layer  0 Neurons:   0 Weights:     0 TNNetInput(32,32,3,0,0) Output:32,32,3 Learning Rate:0.0100 Inertia:0.90 Weight Sum:  0.0000 Branches:1\n",
            "Layer  1 Neurons:  64 Weights:  4800 TNNetConvolutionLinear(64,5,2,1,1) Output:32,32,64 Learning Rate:0.0100 Inertia:0.90 Weight Sum:  9.3083 Parent:0 Branches:1\n",
            "Layer  2 Neurons:   0 Weights:     0 TNNetMaxPool(4,4,0,0,0) Output:8,8,64 Learning Rate:0.0100 Inertia:0.90 Weight Sum:  0.0000 Parent:1 Branches:1\n",
            "Layer  3 Neurons:   1 Weights:     2 TNNetMovingStdNormalization(0,0,0,0,0) Output:8,8,64 Learning Rate:0.0100 Inertia:0.90 Weight Sum:  1.0000 Parent:2 Branches:1\n",
            "Layer  4 Neurons:  64 Weights: 36864 TNNetConvolutionReLU(64,3,1,1,1) Output:8,8,64 Learning Rate:0.0100 Inertia:0.90 Weight Sum:-16.7340 Parent:3 Branches:1\n",
            "Layer  5 Neurons:  64 Weights: 36864 TNNetConvolutionReLU(64,3,1,1,1) Output:8,8,64 Learning Rate:0.0100 Inertia:0.90 Weight Sum: -2.0621 Parent:4 Branches:1\n",
            "Layer  6 Neurons:  64 Weights: 36864 TNNetConvolutionReLU(64,3,1,1,1) Output:8,8,64 Learning Rate:0.0100 Inertia:0.90 Weight Sum: -3.9453 Parent:5 Branches:1\n",
            "Layer  7 Neurons:  64 Weights: 36864 TNNetConvolutionReLU(64,3,1,1,1) Output:8,8,64 Learning Rate:0.0100 Inertia:0.90 Weight Sum:  3.3115 Parent:6 Branches:1\n",
            "Layer  8 Neurons:   0 Weights:     0 TNNetDropout(2,1,0,0,0) Output:8,8,64 Learning Rate:0.0100 Inertia:0.90 Weight Sum:  0.0000 Parent:7 Branches:1\n",
            "Layer  9 Neurons:   0 Weights:     0 TNNetMaxPool(2,2,0,0,0) Output:4,4,64 Learning Rate:0.0100 Inertia:0.90 Weight Sum:  0.0000 Parent:8 Branches:1\n",
            "Layer 10 Neurons:  10 Weights: 10240 TNNetFullConnectLinear(10,1,1,0,0) Output:10,1,1 Learning Rate:0.0100 Inertia:0.90 Weight Sum:-10.4149 Parent:9 Branches:1\n",
            "Layer 11 Neurons:   0 Weights:     0 TNNetSoftMax(0,0,0,0,0) Output:10,1,1 Learning Rate:0.0100 Inertia:0.90 Weight Sum:  0.0000 Parent:10 Branches:0\n",
            "Loading 10K images from file \"data_batch_1.bin\" ... GLOBAL MIN MAX  -2.0000  1.9844 -2.0000  1.9844 -2.0000  1.9844 Done.\n",
            "Loading 10K images from file \"data_batch_2.bin\" ... GLOBAL MIN MAX  -2.0000  1.9844 -2.0000  1.9844 -2.0000  1.9844 Done.\n",
            "Loading 10K images from file \"data_batch_3.bin\" ... GLOBAL MIN MAX  -2.0000  1.9844 -2.0000  1.9844 -2.0000  1.9844 Done.\n",
            "Loading 10K images from file \"data_batch_4.bin\" ... GLOBAL MIN MAX  -2.0000  1.9844 -2.0000  1.9844 -2.0000  1.9844 Done.\n",
            "Loading 10K images from file \"data_batch_5.bin\" ... GLOBAL MIN MAX  -2.0000  1.9844 -2.0000  1.9844 -2.0000  1.9844 Done.\n",
            "Loading 10K images from file \"test_batch.bin\" ... GLOBAL MIN MAX  -2.0000  1.9844 -2.0000  1.9844 -2.0000  1.9844 Done.\n",
            "File name is: SimpleImageClassifier-64\n",
            "Learning rate:0.001000 L2 decay:0.000010 Inertia:0.900000 Batch size:64 Step size:64 Staircase ephocs:10\n",
            "Training images: 40000\n",
            "Validation images: 10000\n",
            "Test images: 10000\n",
            "Computing...\n",
            "640 Examples seen. Accuracy: 0.1481 Error: 1.79544 Loss: 2.29493 Threads: 2 Forward time: 0.69s Backward time: 0.52s Step time: 2.55s\n",
            "1280 Examples seen. Accuracy: 0.1479 Error: 1.77985 Loss: 2.23596 Threads: 2 Forward time: 0.67s Backward time: 0.52s Step time: 2.50s\n",
            "1920 Examples seen. Accuracy: 0.1498 Error: 1.75829 Loss: 2.17276 Threads: 2 Forward time: 0.71s Backward time: 0.53s Step time: 2.50s\n",
            "2560 Examples seen. Accuracy: 0.1550 Error: 1.72284 Loss: 2.10358 Threads: 2 Forward time: 0.67s Backward time: 0.53s Step time: 2.50s\n",
            "3200 Examples seen. Accuracy: 0.1607 Error: 1.71363 Loss: 2.12127 Threads: 2 Forward time: 0.67s Backward time: 0.53s Step time: 2.54s\n",
            "3840 Examples seen. Accuracy: 0.1660 Error: 1.72590 Loss: 2.05349 Threads: 2 Forward time: 0.69s Backward time: 0.50s Step time: 2.51s\n",
            "4480 Examples seen. Accuracy: 0.1770 Error: 1.63273 Loss: 1.86535 Threads: 2 Forward time: 0.68s Backward time: 0.51s Step time: 2.49s\n",
            "5120 Examples seen. Accuracy: 0.1856 Error: 1.63568 Loss: 1.95574 Threads: 2 Forward time: 0.70s Backward time: 0.52s Step time: 2.50s\n",
            "5760 Examples seen. Accuracy: 0.1979 Error: 1.62821 Loss: 1.88185 Threads: 2 Forward time: 0.66s Backward time: 0.53s Step time: 2.51s\n",
            "6400 Examples seen. Accuracy: 0.2075 Error: 1.66402 Loss: 2.07736 Threads: 2 Forward time: 0.68s Backward time: 0.52s Step time: 2.50s\n",
            "7040 Examples seen. Accuracy: 0.2177 Error: 1.64277 Loss: 2.04907 Threads: 2 Forward time: 0.68s Backward time: 0.52s Step time: 2.51s\n",
            "7680 Examples seen. Accuracy: 0.2264 Error: 1.59409 Loss: 1.79512 Threads: 2 Forward time: 0.70s Backward time: 0.53s Step time: 2.50s\n",
            "8320 Examples seen. Accuracy: 0.2360 Error: 1.54550 Loss: 1.85149 Threads: 2 Forward time: 0.69s Backward time: 0.53s Step time: 2.52s\n",
            "8960 Examples seen. Accuracy: 0.2456 Error: 1.56664 Loss: 1.77805 Threads: 2 Forward time: 0.70s Backward time: 0.54s Step time: 2.55s\n",
            "9600 Examples seen. Accuracy: 0.2541 Error: 1.59044 Loss: 1.93252 Threads: 2 Forward time: 0.69s Backward time: 0.54s Step time: 2.51s\n",
            "10240 Examples seen. Accuracy: 0.2597 Error: 1.58854 Loss: 1.81173 Threads: 2 Forward time: 0.68s Backward time: 0.54s Step time: 2.50s\n",
            "10880 Examples seen. Accuracy: 0.2660 Error: 1.49855 Loss: 1.64290 Threads: 2 Forward time: 0.67s Backward time: 0.51s Step time: 2.49s\n",
            "11520 Examples seen. Accuracy: 0.2734 Error: 1.47110 Loss: 1.53985 Threads: 2 Forward time: 0.68s Backward time: 0.53s Step time: 2.49s\n",
            "12160 Examples seen. Accuracy: 0.2793 Error: 1.43010 Loss: 1.51361 Threads: 2 Forward time: 0.66s Backward time: 0.51s Step time: 2.49s\n",
            "12800 Examples seen. Accuracy: 0.2864 Error: 1.54338 Loss: 1.81172 Threads: 2 Forward time: 0.67s Backward time: 0.52s Step time: 2.48s\n",
            "13440 Examples seen. Accuracy: 0.2888 Error: 1.56118 Loss: 1.84152 Threads: 2 Forward time: 0.66s Backward time: 0.52s Step time: 2.52s\n",
            "14080 Examples seen. Accuracy: 0.2940 Error: 1.45340 Loss: 1.62768 Threads: 2 Forward time: 0.71s Backward time: 0.52s Step time: 2.50s\n",
            "14720 Examples seen. Accuracy: 0.2992 Error: 1.53040 Loss: 1.71362 Threads: 2 Forward time: 0.70s Backward time: 0.53s Step time: 2.47s\n",
            "15360 Examples seen. Accuracy: 0.3066 Error: 1.53963 Loss: 1.90071 Threads: 2 Forward time: 0.68s Backward time: 0.52s Step time: 2.45s\n",
            "16000 Examples seen. Accuracy: 0.3135 Error: 1.46878 Loss: 1.61237 Threads: 2 Forward time: 0.71s Backward time: 0.56s Step time: 2.49s\n",
            "16640 Examples seen. Accuracy: 0.3198 Error: 1.51176 Loss: 1.79796 Threads: 2 Forward time: 0.67s Backward time: 0.50s Step time: 2.46s\n",
            "17280 Examples seen. Accuracy: 0.3235 Error: 1.44523 Loss: 1.63515 Threads: 2 Forward time: 0.67s Backward time: 0.49s Step time: 2.46s\n",
            "17920 Examples seen. Accuracy: 0.3291 Error: 1.46046 Loss: 1.47104 Threads: 2 Forward time: 0.68s Backward time: 0.50s Step time: 2.43s\n",
            "18560 Examples seen. Accuracy: 0.3359 Error: 1.48456 Loss: 1.75611 Threads: 2 Forward time: 0.72s Backward time: 0.56s Step time: 2.48s\n",
            "19200 Examples seen. Accuracy: 0.3392 Error: 1.43991 Loss: 1.63127 Threads: 2 Forward time: 0.69s Backward time: 0.55s Step time: 2.47s\n",
            "19840 Examples seen. Accuracy: 0.3407 Error: 1.46214 Loss: 1.58897 Threads: 2 Forward time: 0.67s Backward time: 0.51s Step time: 2.50s\n",
            "20480 Examples seen. Accuracy: 0.3448 Error: 1.47581 Loss: 1.80389 Threads: 2 Forward time: 0.66s Backward time: 0.52s Step time: 2.46s\n",
            "21120 Examples seen. Accuracy: 0.3535 Error: 1.51542 Loss: 1.71892 Threads: 2 Forward time: 0.66s Backward time: 0.53s Step time: 2.45s\n",
            "21760 Examples seen. Accuracy: 0.3606 Error: 1.40996 Loss: 1.61076 Threads: 2 Forward time: 0.66s Backward time: 0.51s Step time: 2.46s\n",
            "22400 Examples seen. Accuracy: 0.3626 Error: 1.57226 Loss: 2.04786 Threads: 2 Forward time: 0.70s Backward time: 0.52s Step time: 2.46s\n",
            "23040 Examples seen. Accuracy: 0.3684 Error: 1.39514 Loss: 1.45001 Threads: 2 Forward time: 0.66s Backward time: 0.49s Step time: 2.44s\n",
            "23680 Examples seen. Accuracy: 0.3742 Error: 1.36091 Loss: 1.61692 Threads: 2 Forward time: 0.68s Backward time: 0.51s Step time: 2.44s\n",
            "24320 Examples seen. Accuracy: 0.3760 Error: 1.46164 Loss: 1.61883 Threads: 2 Forward time: 0.68s Backward time: 0.53s Step time: 2.47s\n",
            "24960 Examples seen. Accuracy: 0.3802 Error: 1.38044 Loss: 1.39986 Threads: 2 Forward time: 0.68s Backward time: 0.52s Step time: 2.50s\n",
            "25600 Examples seen. Accuracy: 0.3861 Error: 1.51735 Loss: 1.78022 Threads: 2 Forward time: 0.68s Backward time: 0.51s Step time: 2.48s\n",
            "26240 Examples seen. Accuracy: 0.3902 Error: 1.41811 Loss: 1.61700 Threads: 2 Forward time: 0.69s Backward time: 0.49s Step time: 2.49s\n",
            "26880 Examples seen. Accuracy: 0.3887 Error: 1.46899 Loss: 1.56543 Threads: 2 Forward time: 0.66s Backward time: 0.53s Step time: 2.48s\n",
            "27520 Examples seen. Accuracy: 0.3936 Error: 1.31012 Loss: 1.30139 Threads: 2 Forward time: 0.68s Backward time: 0.51s Step time: 2.46s\n",
            "28160 Examples seen. Accuracy: 0.3983 Error: 1.39935 Loss: 1.62048 Threads: 2 Forward time: 0.70s Backward time: 0.52s Step time: 2.46s\n",
            "28800 Examples seen. Accuracy: 0.3986 Error: 1.41875 Loss: 1.52329 Threads: 2 Forward time: 0.67s Backward time: 0.50s Step time: 2.44s\n",
            "29440 Examples seen. Accuracy: 0.4022 Error: 1.39563 Loss: 1.52202 Threads: 2 Forward time: 0.66s Backward time: 0.51s Step time: 2.47s\n",
            "30080 Examples seen. Accuracy: 0.4017 Error: 1.45439 Loss: 1.65365 Threads: 2 Forward time: 0.68s Backward time: 0.50s Step time: 2.44s\n",
            "30720 Examples seen. Accuracy: 0.4051 Error: 1.33340 Loss: 1.45610 Threads: 2 Forward time: 0.67s Backward time: 0.50s Step time: 2.42s\n",
            "31360 Examples seen. Accuracy: 0.4062 Error: 1.43259 Loss: 1.59719 Threads: 2 Forward time: 0.69s Backward time: 0.51s Step time: 2.43s\n",
            "32000 Examples seen. Accuracy: 0.4073 Error: 1.41820 Loss: 1.82291 Threads: 2 Forward time: 0.66s Backward time: 0.50s Step time: 2.47s\n",
            "32640 Examples seen. Accuracy: 0.4096 Error: 1.47982 Loss: 1.65160 Threads: 2 Forward time: 0.67s Backward time: 0.50s Step time: 2.45s\n",
            "33280 Examples seen. Accuracy: 0.4113 Error: 1.38456 Loss: 1.50167 Threads: 2 Forward time: 0.68s Backward time: 0.49s Step time: 2.44s\n",
            "33920 Examples seen. Accuracy: 0.4124 Error: 1.37090 Loss: 1.55271 Threads: 2 Forward time: 0.66s Backward time: 0.50s Step time: 2.44s\n",
            "34560 Examples seen. Accuracy: 0.4161 Error: 1.43860 Loss: 1.73516 Threads: 2 Forward time: 0.67s Backward time: 0.50s Step time: 2.44s\n",
            "35200 Examples seen. Accuracy: 0.4171 Error: 1.39582 Loss: 1.64415 Threads: 2 Forward time: 0.68s Backward time: 0.49s Step time: 2.45s\n",
            "35840 Examples seen. Accuracy: 0.4200 Error: 1.40152 Loss: 1.58708 Threads: 2 Forward time: 0.71s Backward time: 0.50s Step time: 2.45s\n",
            "36480 Examples seen. Accuracy: 0.4234 Error: 1.33571 Loss: 1.57454 Threads: 2 Forward time: 0.69s Backward time: 0.54s Step time: 2.53s\n",
            "37120 Examples seen. Accuracy: 0.4301 Error: 1.20996 Loss: 1.25736 Threads: 2 Forward time: 0.67s Backward time: 0.53s Step time: 2.52s\n",
            "37760 Examples seen. Accuracy: 0.4323 Error: 1.44967 Loss: 1.83971 Threads: 2 Forward time: 0.69s Backward time: 0.50s Step time: 2.53s\n",
            "38400 Examples seen. Accuracy: 0.4334 Error: 1.32567 Loss: 1.47977 Threads: 2 Forward time: 0.67s Backward time: 0.51s Step time: 2.46s\n",
            "39040 Examples seen. Accuracy: 0.4319 Error: 1.34760 Loss: 1.38344 Threads: 2 Forward time: 0.68s Backward time: 0.52s Step time: 2.47s\n",
            "39680 Examples seen. Accuracy: 0.4334 Error: 1.32686 Loss: 1.47318 Threads: 2 Forward time: 0.68s Backward time: 0.50s Step time: 2.47s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 1 Examples seen:40000 Validation Accuracy: 0.5163 Validation Error: 1.2367 Validation Loss: 1.3394 Total time: 3.66min\n",
            "Epoch time: 2.5750 minutes. 50 epochs: 2.1458 hours.\n",
            "Epochs: 1. Working time: 0.06 hours.\n",
            "40640 Examples seen. Accuracy: 0.4402 Error: 1.39607 Loss: 1.68056 Threads: 2 Forward time: 0.66s Backward time: 0.51s Step time: 2.45s\n",
            "41280 Examples seen. Accuracy: 0.4421 Error: 1.25289 Loss: 1.23783 Threads: 2 Forward time: 0.72s Backward time: 0.52s Step time: 2.52s\n",
            "41920 Examples seen. Accuracy: 0.4458 Error: 1.22554 Loss: 1.16512 Threads: 2 Forward time: 0.68s Backward time: 0.51s Step time: 2.56s\n",
            "42560 Examples seen. Accuracy: 0.4467 Error: 1.33534 Loss: 1.68178 Threads: 2 Forward time: 0.69s Backward time: 0.53s Step time: 2.49s\n",
            "43200 Examples seen. Accuracy: 0.4503 Error: 1.36218 Loss: 1.59631 Threads: 2 Forward time: 0.66s Backward time: 0.51s Step time: 2.46s\n",
            "43840 Examples seen. Accuracy: 0.4508 Error: 1.39591 Loss: 1.59698 Threads: 2 Forward time: 0.66s Backward time: 0.53s Step time: 2.47s\n",
            "44480 Examples seen. Accuracy: 0.4512 Error: 1.35992 Loss: 1.53007 Threads: 2 Forward time: 0.67s Backward time: 0.50s Step time: 2.48s\n",
            "45120 Examples seen. Accuracy: 0.4494 Error: 1.32980 Loss: 1.38933 Threads: 2 Forward time: 0.70s Backward time: 0.50s Step time: 2.45s\n",
            "45760 Examples seen. Accuracy: 0.4512 Error: 1.24250 Loss: 1.40123 Threads: 2 Forward time: 0.67s Backward time: 0.49s Step time: 2.47s\n",
            "46400 Examples seen. Accuracy: 0.4528 Error: 1.41063 Loss: 1.56648 Threads: 2 Forward time: 0.65s Backward time: 0.51s Step time: 2.43s\n",
            "47040 Examples seen. Accuracy: 0.4542 Error: 1.34692 Loss: 1.58015 Threads: 2 Forward time: 0.74s Backward time: 0.52s Step time: 2.42s\n",
            "47680 Examples seen. Accuracy: 0.4582 Error: 1.25918 Loss: 1.29102 Threads: 2 Forward time: 0.68s Backward time: 0.47s Step time: 2.42s\n",
            "48320 Examples seen. Accuracy: 0.4607 Error: 1.31420 Loss: 1.48015 Threads: 2 Forward time: 0.67s Backward time: 0.50s Step time: 2.42s\n",
            "48960 Examples seen. Accuracy: 0.4616 Error: 1.35348 Loss: 1.57047 Threads: 2 Forward time: 0.68s Backward time: 0.49s Step time: 2.43s\n",
            "49600 Examples seen. Accuracy: 0.4612 Error: 1.22624 Loss: 1.37146 Threads: 2 Forward time: 0.69s Backward time: 0.50s Step time: 2.46s\n",
            "50240 Examples seen. Accuracy: 0.4595 Error: 1.40065 Loss: 1.56835 Threads: 2 Forward time: 0.72s Backward time: 0.49s Step time: 2.49s\n",
            "50880 Examples seen. Accuracy: 0.4617 Error: 1.36675 Loss: 1.55090 Threads: 2 Forward time: 0.68s Backward time: 0.49s Step time: 2.43s\n",
            "51520 Examples seen. Accuracy: 0.4609 Error: 1.34522 Loss: 1.38099 Threads: 2 Forward time: 0.69s Backward time: 0.52s Step time: 2.44s\n",
            "52160 Examples seen. Accuracy: 0.4633 Error: 1.28366 Loss: 1.41689 Threads: 2 Forward time: 0.66s Backward time: 0.49s Step time: 2.42s\n",
            "52800 Examples seen. Accuracy: 0.4679 Error: 1.21513 Loss: 1.42658 Threads: 2 Forward time: 0.68s Backward time: 0.52s Step time: 2.45s\n",
            "53440 Examples seen. Accuracy: 0.4708 Error: 1.30849 Loss: 1.53340 Threads: 2 Forward time: 0.69s Backward time: 0.49s Step time: 2.43s\n",
            "54080 Examples seen. Accuracy: 0.4732 Error: 1.40573 Loss: 1.46094 Threads: 2 Forward time: 0.67s Backward time: 0.47s Step time: 2.42s\n",
            "54720 Examples seen. Accuracy: 0.4775 Error: 1.23261 Loss: 1.33425 Threads: 2 Forward time: 0.67s Backward time: 0.49s Step time: 2.42s\n",
            "55360 Examples seen. Accuracy: 0.4789 Error: 1.20426 Loss: 1.25272 Threads: 2 Forward time: 0.70s Backward time: 0.51s Step time: 2.44s\n",
            "56000 Examples seen. Accuracy: 0.4824 Error: 1.17741 Loss: 1.18861 Threads: 2 Forward time: 0.67s Backward time: 0.49s Step time: 2.41s\n",
            "56640 Examples seen. Accuracy: 0.4804 Error: 1.31370 Loss: 1.48129 Threads: 2 Forward time: 0.70s Backward time: 0.56s Step time: 2.47s\n",
            "57280 Examples seen. Accuracy: 0.4816 Error: 1.34587 Loss: 1.58014 Threads: 2 Forward time: 0.67s Backward time: 0.51s Step time: 2.47s\n",
            "57920 Examples seen. Accuracy: 0.4836 Error: 1.21501 Loss: 1.32031 Threads: 2 Forward time: 0.66s Backward time: 0.48s Step time: 2.46s\n",
            "58560 Examples seen. Accuracy: 0.4855 Error: 1.25863 Loss: 1.42719 Threads: 2 Forward time: 0.69s Backward time: 0.51s Step time: 2.43s\n",
            "59200 Examples seen. Accuracy: 0.4864 Error: 1.25754 Loss: 1.30167 Threads: 2 Forward time: 0.67s Backward time: 0.48s Step time: 2.41s\n",
            "59840 Examples seen. Accuracy: 0.4902 Error: 1.18845 Loss: 1.25104 Threads: 2 Forward time: 0.66s Backward time: 0.49s Step time: 2.40s\n",
            "60480 Examples seen. Accuracy: 0.4888 Error: 1.22724 Loss: 1.26680 Threads: 2 Forward time: 0.69s Backward time: 0.46s Step time: 2.40s\n",
            "61120 Examples seen. Accuracy: 0.4858 Error: 1.32534 Loss: 1.66756 Threads: 2 Forward time: 0.67s Backward time: 0.48s Step time: 2.41s\n",
            "61760 Examples seen. Accuracy: 0.4867 Error: 1.23665 Loss: 1.31761 Threads: 2 Forward time: 0.68s Backward time: 0.51s Step time: 2.40s\n",
            "62400 Examples seen. Accuracy: 0.4891 Error: 1.37480 Loss: 1.56838 Threads: 2 Forward time: 0.70s Backward time: 0.51s Step time: 2.45s\n",
            "63040 Examples seen. Accuracy: 0.4882 Error: 1.32497 Loss: 1.52067 Threads: 2 Forward time: 0.68s Backward time: 0.48s Step time: 2.43s\n",
            "63680 Examples seen. Accuracy: 0.4885 Error: 1.23105 Loss: 1.33264 Threads: 2 Forward time: 0.69s Backward time: 0.51s Step time: 2.44s\n",
            "64320 Examples seen. Accuracy: 0.4874 Error: 1.29117 Loss: 1.41264 Threads: 2 Forward time: 0.67s Backward time: 0.50s Step time: 2.44s\n",
            "64960 Examples seen. Accuracy: 0.4905 Error: 1.04727 Loss: 1.08052 Threads: 2 Forward time: 0.67s Backward time: 0.51s Step time: 2.43s\n",
            "65600 Examples seen. Accuracy: 0.4925 Error: 1.16781 Loss: 1.18518 Threads: 2 Forward time: 0.66s Backward time: 0.48s Step time: 2.42s\n",
            "66240 Examples seen. Accuracy: 0.4946 Error: 1.32698 Loss: 1.36193 Threads: 2 Forward time: 0.66s Backward time: 0.48s Step time: 2.41s\n",
            "66880 Examples seen. Accuracy: 0.4948 Error: 1.21861 Loss: 1.39665 Threads: 2 Forward time: 0.70s Backward time: 0.48s Step time: 2.39s\n",
            "67520 Examples seen. Accuracy: 0.4989 Error: 1.13003 Loss: 1.22982 Threads: 2 Forward time: 0.68s Backward time: 0.47s Step time: 2.38s\n",
            "68160 Examples seen. Accuracy: 0.4998 Error: 1.10655 Loss: 1.17619 Threads: 2 Forward time: 0.66s Backward time: 0.48s Step time: 2.38s\n",
            "68800 Examples seen. Accuracy: 0.5027 Error: 1.11410 Loss: 1.23831 Threads: 2 Forward time: 0.68s Backward time: 0.51s Step time: 2.43s\n",
            "69440 Examples seen. Accuracy: 0.5021 Error: 1.20098 Loss: 1.40219 Threads: 2 Forward time: 0.68s Backward time: 0.49s Step time: 2.42s\n",
            "70080 Examples seen. Accuracy: 0.5025 Error: 1.28556 Loss: 1.60134 Threads: 2 Forward time: 0.66s Backward time: 0.47s Step time: 2.39s\n",
            "70720 Examples seen. Accuracy: 0.5037 Error: 1.32673 Loss: 1.49878 Threads: 2 Forward time: 0.71s Backward time: 0.47s Step time: 2.37s\n",
            "71360 Examples seen. Accuracy: 0.5057 Error: 1.17321 Loss: 1.19003 Threads: 2 Forward time: 0.65s Backward time: 0.49s Step time: 2.39s\n",
            "72000 Examples seen. Accuracy: 0.5046 Error: 1.21618 Loss: 1.37591 Threads: 2 Forward time: 0.66s Backward time: 0.47s Step time: 2.39s\n",
            "72640 Examples seen. Accuracy: 0.5064 Error: 1.17879 Loss: 1.23261 Threads: 2 Forward time: 0.70s Backward time: 0.49s Step time: 2.38s\n",
            "73280 Examples seen. Accuracy: 0.5059 Error: 1.12521 Loss: 1.21161 Threads: 2 Forward time: 0.67s Backward time: 0.48s Step time: 2.38s\n",
            "73920 Examples seen. Accuracy: 0.5061 Error: 1.21973 Loss: 1.37913 Threads: 2 Forward time: 0.66s Backward time: 0.47s Step time: 2.37s\n",
            "74560 Examples seen. Accuracy: 0.5034 Error: 1.34306 Loss: 1.40960 Threads: 2 Forward time: 0.69s Backward time: 0.48s Step time: 2.40s\n",
            "75200 Examples seen. Accuracy: 0.5054 Error: 1.28294 Loss: 1.44882 Threads: 2 Forward time: 0.68s Backward time: 0.46s Step time: 2.40s\n",
            "75840 Examples seen. Accuracy: 0.5065 Error: 1.37193 Loss: 1.64460 Threads: 2 Forward time: 0.68s Backward time: 0.50s Step time: 2.40s\n",
            "76480 Examples seen. Accuracy: 0.5065 Error: 1.34023 Loss: 1.53348 Threads: 2 Forward time: 0.68s Backward time: 0.47s Step time: 2.46s\n",
            "77120 Examples seen. Accuracy: 0.5073 Error: 1.26684 Loss: 1.33574 Threads: 2 Forward time: 0.65s Backward time: 0.50s Step time: 2.43s\n",
            "77760 Examples seen. Accuracy: 0.5115 Error: 1.19319 Loss: 1.29400 Threads: 2 Forward time: 0.70s Backward time: 0.49s Step time: 2.40s\n",
            "78400 Examples seen. Accuracy: 0.5139 Error: 1.18306 Loss: 1.60150 Threads: 2 Forward time: 0.68s Backward time: 0.46s Step time: 2.43s\n",
            "79040 Examples seen. Accuracy: 0.5180 Error: 1.28231 Loss: 1.38482 Threads: 2 Forward time: 0.68s Backward time: 0.49s Step time: 2.39s\n",
            "79680 Examples seen. Accuracy: 0.5198 Error: 1.23234 Loss: 1.17779 Threads: 2 Forward time: 0.68s Backward time: 0.47s Step time: 2.42s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 2 Examples seen:80000 Validation Accuracy: 0.5280 Validation Error: 1.2106 Validation Loss: 1.2998 Total time: 7.23min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.241 Min Weight:  -0.235 Max Output:  3.830 Min Output: -3.955 TNNetConvolutionLinear 32,32,64 Times: 30.20s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  3.830 Min Output: -1.498 TNNetMaxPool 8,8,64 Times: 7.00s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.902 Min Weight:   0.586 Max Output:  3.596 Min Output: -2.310 TNNetMovingStdNormalization 8,8,64 Times: 0.15s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.105 Min Weight:  -0.104 Max Output:  4.570 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.05s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.112 Min Weight:  -0.114 Max Output:  3.343 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.01s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.117 Min Weight:  -0.102 Max Output:  2.087 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 5.96s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.124 Min Weight:  -0.108 Max Output:  1.748 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.08s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  1.748 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.02s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  1.748 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.43s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.184 Min Weight:  -0.146 Max Output:  2.421 Min Output: -2.251 TNNetFullConnectLinear 10,1,1 Times: 0.08s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.578 Min Output:  0.005 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Epoch time: 2.5208 minutes. 50 epochs: 2.1007 hours.\n",
            "Epochs: 2. Working time: 0.12 hours.\n",
            "80640 Examples seen. Accuracy: 0.5217 Error: 1.25977 Loss: 1.32582 Threads: 2 Forward time: 0.67s Backward time: 0.51s Step time: 2.42s\n",
            "81280 Examples seen. Accuracy: 0.5215 Error: 1.23738 Loss: 1.46194 Threads: 2 Forward time: 0.74s Backward time: 0.53s Step time: 2.50s\n",
            "81920 Examples seen. Accuracy: 0.5240 Error: 1.36221 Loss: 1.65249 Threads: 2 Forward time: 0.72s Backward time: 0.54s Step time: 2.64s\n",
            "82560 Examples seen. Accuracy: 0.5249 Error: 1.08699 Loss: 1.05420 Threads: 2 Forward time: 0.70s Backward time: 0.47s Step time: 2.50s\n",
            "83200 Examples seen. Accuracy: 0.5256 Error: 1.22711 Loss: 1.34938 Threads: 2 Forward time: 0.72s Backward time: 0.49s Step time: 2.44s\n",
            "83840 Examples seen. Accuracy: 0.5265 Error: 1.22419 Loss: 1.33143 Threads: 2 Forward time: 0.69s Backward time: 0.48s Step time: 2.45s\n",
            "84480 Examples seen. Accuracy: 0.5255 Error: 1.28435 Loss: 1.42781 Threads: 2 Forward time: 0.66s Backward time: 0.49s Step time: 2.44s\n",
            "85120 Examples seen. Accuracy: 0.5273 Error: 1.11672 Loss: 1.16786 Threads: 2 Forward time: 0.70s Backward time: 0.51s Step time: 2.46s\n",
            "85760 Examples seen. Accuracy: 0.5265 Error: 1.11195 Loss: 1.16223 Threads: 2 Forward time: 0.70s Backward time: 0.51s Step time: 2.49s\n",
            "86400 Examples seen. Accuracy: 0.5271 Error: 1.18559 Loss: 1.20379 Threads: 2 Forward time: 0.70s Backward time: 0.47s Step time: 2.49s\n",
            "87040 Examples seen. Accuracy: 0.5304 Error: 1.06645 Loss: 1.06041 Threads: 2 Forward time: 0.67s Backward time: 0.49s Step time: 2.44s\n",
            "87680 Examples seen. Accuracy: 0.5291 Error: 1.06728 Loss: 1.12536 Threads: 2 Forward time: 0.67s Backward time: 0.50s Step time: 2.44s\n",
            "88320 Examples seen. Accuracy: 0.5284 Error: 1.36197 Loss: 1.49824 Threads: 2 Forward time: 0.69s Backward time: 0.48s Step time: 2.46s\n",
            "88960 Examples seen. Accuracy: 0.5286 Error: 1.33446 Loss: 1.53771 Threads: 2 Forward time: 0.69s Backward time: 0.50s Step time: 2.44s\n",
            "89600 Examples seen. Accuracy: 0.5299 Error: 1.20436 Loss: 1.29304 Threads: 2 Forward time: 0.71s Backward time: 0.52s Step time: 2.49s\n",
            "90240 Examples seen. Accuracy: 0.5322 Error: 1.13818 Loss: 1.20439 Threads: 2 Forward time: 0.69s Backward time: 0.50s Step time: 2.48s\n",
            "90880 Examples seen. Accuracy: 0.5321 Error: 1.18145 Loss: 1.34056 Threads: 2 Forward time: 0.70s Backward time: 0.50s Step time: 2.46s\n",
            "91520 Examples seen. Accuracy: 0.5338 Error: 1.18489 Loss: 1.25516 Threads: 2 Forward time: 0.67s Backward time: 0.46s Step time: 2.39s\n",
            "92160 Examples seen. Accuracy: 0.5332 Error: 1.06375 Loss: 1.23520 Threads: 2 Forward time: 0.68s Backward time: 0.48s Step time: 2.38s\n",
            "92800 Examples seen. Accuracy: 0.5353 Error: 1.20202 Loss: 1.41078 Threads: 2 Forward time: 0.74s Backward time: 0.51s Step time: 2.40s\n",
            "93440 Examples seen. Accuracy: 0.5402 Error: 1.10855 Loss: 1.23545 Threads: 2 Forward time: 0.67s Backward time: 0.48s Step time: 2.40s\n",
            "94080 Examples seen. Accuracy: 0.5418 Error: 1.23072 Loss: 1.32038 Threads: 2 Forward time: 0.70s Backward time: 0.51s Step time: 2.40s\n",
            "94720 Examples seen. Accuracy: 0.5421 Error: 1.19074 Loss: 1.50945 Threads: 2 Forward time: 0.68s Backward time: 0.50s Step time: 2.45s\n",
            "95360 Examples seen. Accuracy: 0.5426 Error: 1.26900 Loss: 1.37056 Threads: 2 Forward time: 0.68s Backward time: 0.50s Step time: 2.42s\n",
            "96000 Examples seen. Accuracy: 0.5407 Error: 1.26377 Loss: 1.49441 Threads: 2 Forward time: 0.67s Backward time: 0.47s Step time: 2.42s\n",
            "96640 Examples seen. Accuracy: 0.5392 Error: 1.28611 Loss: 1.47267 Threads: 2 Forward time: 0.68s Backward time: 0.49s Step time: 2.40s\n",
            "97280 Examples seen. Accuracy: 0.5416 Error: 1.18893 Loss: 1.39908 Threads: 2 Forward time: 0.69s Backward time: 0.50s Step time: 2.43s\n",
            "97920 Examples seen. Accuracy: 0.5405 Error: 1.18357 Loss: 1.29477 Threads: 2 Forward time: 0.69s Backward time: 0.49s Step time: 2.40s\n",
            "98560 Examples seen. Accuracy: 0.5421 Error: 1.12833 Loss: 1.16271 Threads: 2 Forward time: 0.66s Backward time: 0.49s Step time: 2.39s\n",
            "99200 Examples seen. Accuracy: 0.5448 Error: 1.18661 Loss: 1.23381 Threads: 2 Forward time: 0.67s Backward time: 0.47s Step time: 2.38s\n",
            "99840 Examples seen. Accuracy: 0.5451 Error: 1.13116 Loss: 1.27461 Threads: 2 Forward time: 0.70s Backward time: 0.48s Step time: 2.40s\n",
            "100480 Examples seen. Accuracy: 0.5438 Error: 1.19824 Loss: 1.33744 Threads: 2 Forward time: 0.67s Backward time: 0.50s Step time: 2.42s\n",
            "101120 Examples seen. Accuracy: 0.5435 Error: 1.26597 Loss: 1.40315 Threads: 2 Forward time: 0.68s Backward time: 0.46s Step time: 2.43s\n",
            "101760 Examples seen. Accuracy: 0.5447 Error: 1.14179 Loss: 1.22289 Threads: 2 Forward time: 0.71s Backward time: 0.50s Step time: 2.42s\n",
            "102400 Examples seen. Accuracy: 0.5426 Error: 1.16172 Loss: 1.28683 Threads: 2 Forward time: 0.68s Backward time: 0.49s Step time: 2.45s\n",
            "103040 Examples seen. Accuracy: 0.5464 Error: 1.12014 Loss: 1.14475 Threads: 2 Forward time: 0.68s Backward time: 0.47s Step time: 2.46s\n",
            "103680 Examples seen. Accuracy: 0.5469 Error: 1.19354 Loss: 1.35633 Threads: 2 Forward time: 0.70s Backward time: 0.51s Step time: 2.40s\n",
            "104320 Examples seen. Accuracy: 0.5503 Error: 1.09195 Loss: 1.17948 Threads: 2 Forward time: 0.67s Backward time: 0.46s Step time: 2.38s\n",
            "104960 Examples seen. Accuracy: 0.5537 Error: 1.13195 Loss: 1.23216 Threads: 2 Forward time: 0.70s Backward time: 0.48s Step time: 2.39s\n",
            "105600 Examples seen. Accuracy: 0.5542 Error: 1.17438 Loss: 1.25003 Threads: 2 Forward time: 0.65s Backward time: 0.47s Step time: 2.38s\n",
            "106240 Examples seen. Accuracy: 0.5558 Error: 1.06134 Loss: 1.15410 Threads: 2 Forward time: 0.68s Backward time: 0.49s Step time: 2.38s\n",
            "106880 Examples seen. Accuracy: 0.5553 Error: 1.14725 Loss: 1.23581 Threads: 2 Forward time: 0.72s Backward time: 0.47s Step time: 2.45s\n",
            "107520 Examples seen. Accuracy: 0.5565 Error: 1.02141 Loss: 1.04104 Threads: 2 Forward time: 0.66s Backward time: 0.46s Step time: 2.35s\n",
            "108160 Examples seen. Accuracy: 0.5562 Error: 1.09003 Loss: 1.10040 Threads: 2 Forward time: 0.66s Backward time: 0.47s Step time: 2.35s\n",
            "108800 Examples seen. Accuracy: 0.5555 Error: 1.19926 Loss: 1.41436 Threads: 2 Forward time: 0.68s Backward time: 0.49s Step time: 2.38s\n",
            "109440 Examples seen. Accuracy: 0.5555 Error: 1.13296 Loss: 1.32973 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.38s\n",
            "110080 Examples seen. Accuracy: 0.5564 Error: 1.19110 Loss: 1.43251 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.35s\n",
            "110720 Examples seen. Accuracy: 0.5594 Error: 1.14849 Loss: 1.27873 Threads: 2 Forward time: 0.69s Backward time: 0.52s Step time: 2.38s\n",
            "111360 Examples seen. Accuracy: 0.5613 Error: 1.11265 Loss: 1.26440 Threads: 2 Forward time: 0.67s Backward time: 0.47s Step time: 2.42s\n",
            "112000 Examples seen. Accuracy: 0.5588 Error: 1.05700 Loss: 1.13769 Threads: 2 Forward time: 0.67s Backward time: 0.47s Step time: 2.39s\n",
            "112640 Examples seen. Accuracy: 0.5605 Error: 1.04210 Loss: 1.11334 Threads: 2 Forward time: 0.67s Backward time: 0.47s Step time: 2.36s\n",
            "113280 Examples seen. Accuracy: 0.5577 Error: 1.08367 Loss: 1.09816 Threads: 2 Forward time: 0.66s Backward time: 0.45s Step time: 2.34s\n",
            "113920 Examples seen. Accuracy: 0.5577 Error: 1.10999 Loss: 1.16392 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.35s\n",
            "114560 Examples seen. Accuracy: 0.5576 Error: 1.12588 Loss: 1.15112 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.35s\n",
            "115200 Examples seen. Accuracy: 0.5564 Error: 1.14632 Loss: 1.30112 Threads: 2 Forward time: 0.67s Backward time: 0.45s Step time: 2.38s\n",
            "115840 Examples seen. Accuracy: 0.5592 Error: 1.13579 Loss: 1.28841 Threads: 2 Forward time: 0.66s Backward time: 0.48s Step time: 2.35s\n",
            "116480 Examples seen. Accuracy: 0.5598 Error: 1.14585 Loss: 1.20761 Threads: 2 Forward time: 0.65s Backward time: 0.48s Step time: 2.35s\n",
            "117120 Examples seen. Accuracy: 0.5603 Error: 1.03519 Loss: 1.08286 Threads: 2 Forward time: 0.67s Backward time: 0.45s Step time: 2.39s\n",
            "117760 Examples seen. Accuracy: 0.5624 Error: 1.03469 Loss: 1.14592 Threads: 2 Forward time: 0.65s Backward time: 0.48s Step time: 2.37s\n",
            "118400 Examples seen. Accuracy: 0.5621 Error: 1.12518 Loss: 1.22586 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.35s\n",
            "119040 Examples seen. Accuracy: 0.5648 Error: 1.06442 Loss: 1.03027 Threads: 2 Forward time: 0.66s Backward time: 0.46s Step time: 2.36s\n",
            "119680 Examples seen. Accuracy: 0.5632 Error: 1.14389 Loss: 1.19306 Threads: 2 Forward time: 0.71s Backward time: 0.44s Step time: 2.34s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 3 Examples seen:120000 Validation Accuracy: 0.5486 Validation Error: 1.1838 Validation Loss: 1.2516 Total time: 10.79min\n",
            "Epoch time: 2.4354 minutes. 50 epochs: 2.0295 hours.\n",
            "Epochs: 3. Working time: 0.18 hours.\n",
            "120640 Examples seen. Accuracy: 0.5678 Error: 1.15427 Loss: 1.31939 Threads: 2 Forward time: 0.67s Backward time: 0.47s Step time: 2.36s\n",
            "121280 Examples seen. Accuracy: 0.5715 Error: 1.17294 Loss: 1.40640 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.37s\n",
            "121920 Examples seen. Accuracy: 0.5726 Error: 1.23617 Loss: 1.31894 Threads: 2 Forward time: 0.66s Backward time: 0.46s Step time: 2.37s\n",
            "122560 Examples seen. Accuracy: 0.5752 Error: 1.14357 Loss: 1.25303 Threads: 2 Forward time: 0.67s Backward time: 0.45s Step time: 2.34s\n",
            "123200 Examples seen. Accuracy: 0.5775 Error: 1.09119 Loss: 1.19887 Threads: 2 Forward time: 0.65s Backward time: 0.46s Step time: 2.35s\n",
            "123840 Examples seen. Accuracy: 0.5796 Error: 0.94131 Loss: 1.00081 Threads: 2 Forward time: 0.66s Backward time: 0.46s Step time: 2.40s\n",
            "124480 Examples seen. Accuracy: 0.5807 Error: 1.01060 Loss: 1.14257 Threads: 2 Forward time: 0.68s Backward time: 0.48s Step time: 2.39s\n",
            "125120 Examples seen. Accuracy: 0.5856 Error: 1.07786 Loss: 1.16765 Threads: 2 Forward time: 0.67s Backward time: 0.45s Step time: 2.36s\n",
            "125760 Examples seen. Accuracy: 0.5845 Error: 1.03366 Loss: 1.01894 Threads: 2 Forward time: 0.67s Backward time: 0.46s Step time: 2.41s\n",
            "126400 Examples seen. Accuracy: 0.5819 Error: 1.14479 Loss: 1.12500 Threads: 2 Forward time: 0.66s Backward time: 0.46s Step time: 2.34s\n",
            "127040 Examples seen. Accuracy: 0.5790 Error: 1.11493 Loss: 1.27241 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.32s\n",
            "127680 Examples seen. Accuracy: 0.5763 Error: 1.20491 Loss: 1.40975 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.33s\n",
            "128320 Examples seen. Accuracy: 0.5772 Error: 1.05885 Loss: 1.15720 Threads: 2 Forward time: 0.67s Backward time: 0.46s Step time: 2.34s\n",
            "128960 Examples seen. Accuracy: 0.5772 Error: 1.25268 Loss: 1.32778 Threads: 2 Forward time: 0.66s Backward time: 0.45s Step time: 2.36s\n",
            "129600 Examples seen. Accuracy: 0.5773 Error: 1.08535 Loss: 1.18995 Threads: 2 Forward time: 0.69s Backward time: 0.46s Step time: 2.35s\n",
            "130240 Examples seen. Accuracy: 0.5787 Error: 1.03734 Loss: 1.07496 Threads: 2 Forward time: 0.66s Backward time: 0.47s Step time: 2.34s\n",
            "130880 Examples seen. Accuracy: 0.5809 Error: 1.09932 Loss: 1.21523 Threads: 2 Forward time: 0.67s Backward time: 0.45s Step time: 2.35s\n",
            "131520 Examples seen. Accuracy: 0.5821 Error: 0.99388 Loss: 0.99963 Threads: 2 Forward time: 0.69s Backward time: 0.46s Step time: 2.38s\n",
            "132160 Examples seen. Accuracy: 0.5808 Error: 1.14672 Loss: 1.22018 Threads: 2 Forward time: 0.66s Backward time: 0.46s Step time: 2.36s\n",
            "132800 Examples seen. Accuracy: 0.5827 Error: 1.11488 Loss: 1.23393 Threads: 2 Forward time: 0.66s Backward time: 0.45s Step time: 2.35s\n",
            "133440 Examples seen. Accuracy: 0.5825 Error: 1.05946 Loss: 1.21389 Threads: 2 Forward time: 0.71s Backward time: 0.45s Step time: 2.37s\n",
            "134080 Examples seen. Accuracy: 0.5834 Error: 1.05712 Loss: 1.07691 Threads: 2 Forward time: 0.67s Backward time: 0.47s Step time: 2.39s\n",
            "134720 Examples seen. Accuracy: 0.5837 Error: 1.10804 Loss: 1.18131 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.36s\n",
            "135360 Examples seen. Accuracy: 0.5829 Error: 1.10233 Loss: 1.17018 Threads: 2 Forward time: 0.66s Backward time: 0.46s Step time: 2.35s\n",
            "136000 Examples seen. Accuracy: 0.5827 Error: 1.17012 Loss: 1.17661 Threads: 2 Forward time: 0.70s Backward time: 0.47s Step time: 2.36s\n",
            "136640 Examples seen. Accuracy: 0.5824 Error: 1.11954 Loss: 1.15826 Threads: 2 Forward time: 0.68s Backward time: 0.49s Step time: 2.36s\n",
            "137280 Examples seen. Accuracy: 0.5859 Error: 0.87084 Loss: 0.88198 Threads: 2 Forward time: 0.67s Backward time: 0.47s Step time: 2.37s\n",
            "137920 Examples seen. Accuracy: 0.5853 Error: 1.03737 Loss: 1.08369 Threads: 2 Forward time: 0.70s Backward time: 0.48s Step time: 2.36s\n",
            "138560 Examples seen. Accuracy: 0.5849 Error: 1.15893 Loss: 1.14778 Threads: 2 Forward time: 0.68s Backward time: 0.46s Step time: 2.35s\n",
            "139200 Examples seen. Accuracy: 0.5793 Error: 1.18279 Loss: 1.34970 Threads: 2 Forward time: 0.67s Backward time: 0.47s Step time: 2.35s\n",
            "139840 Examples seen. Accuracy: 0.5813 Error: 1.14796 Loss: 1.35672 Threads: 2 Forward time: 0.69s Backward time: 0.47s Step time: 2.38s\n",
            "140480 Examples seen. Accuracy: 0.5845 Error: 1.14214 Loss: 1.26108 Threads: 2 Forward time: 0.67s Backward time: 0.46s Step time: 2.35s\n",
            "141120 Examples seen. Accuracy: 0.5847 Error: 1.01864 Loss: 1.15375 Threads: 2 Forward time: 0.66s Backward time: 0.47s Step time: 2.36s\n",
            "141760 Examples seen. Accuracy: 0.5884 Error: 0.91631 Loss: 0.91500 Threads: 2 Forward time: 0.70s Backward time: 0.45s Step time: 2.35s\n",
            "142400 Examples seen. Accuracy: 0.5892 Error: 0.97186 Loss: 1.09613 Threads: 2 Forward time: 0.67s Backward time: 0.46s Step time: 2.40s\n",
            "143040 Examples seen. Accuracy: 0.5880 Error: 1.14412 Loss: 1.22655 Threads: 2 Forward time: 0.70s Backward time: 0.44s Step time: 2.39s\n",
            "143680 Examples seen. Accuracy: 0.5862 Error: 1.07820 Loss: 1.13345 Threads: 2 Forward time: 0.69s Backward time: 0.50s Step time: 2.40s\n",
            "144320 Examples seen. Accuracy: 0.5867 Error: 1.04732 Loss: 1.10469 Threads: 2 Forward time: 0.67s Backward time: 0.45s Step time: 2.37s\n",
            "144960 Examples seen. Accuracy: 0.5884 Error: 1.08661 Loss: 1.40247 Threads: 2 Forward time: 0.69s Backward time: 0.47s Step time: 2.35s\n",
            "145600 Examples seen. Accuracy: 0.5886 Error: 1.07829 Loss: 1.27540 Threads: 2 Forward time: 0.70s Backward time: 0.47s Step time: 2.51s\n",
            "146240 Examples seen. Accuracy: 0.5902 Error: 1.03226 Loss: 1.03883 Threads: 2 Forward time: 0.70s Backward time: 0.49s Step time: 2.46s\n",
            "146880 Examples seen. Accuracy: 0.5899 Error: 1.12810 Loss: 1.28696 Threads: 2 Forward time: 0.73s Backward time: 0.47s Step time: 2.44s\n",
            "147520 Examples seen. Accuracy: 0.5928 Error: 1.01543 Loss: 1.00434 Threads: 2 Forward time: 0.66s Backward time: 0.46s Step time: 2.39s\n",
            "148160 Examples seen. Accuracy: 0.5915 Error: 1.11240 Loss: 1.34505 Threads: 2 Forward time: 0.67s Backward time: 0.45s Step time: 2.38s\n",
            "148800 Examples seen. Accuracy: 0.5906 Error: 1.02513 Loss: 1.01837 Threads: 2 Forward time: 0.70s Backward time: 0.48s Step time: 2.37s\n",
            "149440 Examples seen. Accuracy: 0.5902 Error: 0.98376 Loss: 0.96761 Threads: 2 Forward time: 0.66s Backward time: 0.46s Step time: 2.34s\n",
            "150080 Examples seen. Accuracy: 0.5931 Error: 0.96226 Loss: 1.04849 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.35s\n",
            "150720 Examples seen. Accuracy: 0.5935 Error: 1.10129 Loss: 1.17258 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.38s\n",
            "151360 Examples seen. Accuracy: 0.5923 Error: 1.02696 Loss: 1.02534 Threads: 2 Forward time: 0.72s Backward time: 0.47s Step time: 2.40s\n",
            "152000 Examples seen. Accuracy: 0.5943 Error: 1.00840 Loss: 1.04701 Threads: 2 Forward time: 0.67s Backward time: 0.48s Step time: 2.41s\n",
            "152640 Examples seen. Accuracy: 0.5934 Error: 1.05954 Loss: 1.14086 Threads: 2 Forward time: 0.68s Backward time: 0.46s Step time: 2.35s\n",
            "153280 Examples seen. Accuracy: 0.5957 Error: 1.05938 Loss: 1.15342 Threads: 2 Forward time: 0.73s Backward time: 0.44s Step time: 2.38s\n",
            "153920 Examples seen. Accuracy: 0.5931 Error: 0.98127 Loss: 1.00095 Threads: 2 Forward time: 0.66s Backward time: 0.45s Step time: 2.37s\n",
            "154560 Examples seen. Accuracy: 0.5938 Error: 0.97991 Loss: 1.05079 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.34s\n",
            "155200 Examples seen. Accuracy: 0.5955 Error: 1.07636 Loss: 1.25756 Threads: 2 Forward time: 0.70s Backward time: 0.46s Step time: 2.39s\n",
            "155840 Examples seen. Accuracy: 0.5973 Error: 0.92489 Loss: 0.95511 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.36s\n",
            "156480 Examples seen. Accuracy: 0.5995 Error: 0.98247 Loss: 1.04234 Threads: 2 Forward time: 0.69s Backward time: 0.46s Step time: 2.40s\n",
            "157120 Examples seen. Accuracy: 0.5993 Error: 1.02203 Loss: 1.08866 Threads: 2 Forward time: 0.66s Backward time: 0.46s Step time: 2.38s\n",
            "157760 Examples seen. Accuracy: 0.6029 Error: 0.92700 Loss: 0.94507 Threads: 2 Forward time: 0.67s Backward time: 0.46s Step time: 2.34s\n",
            "158400 Examples seen. Accuracy: 0.6019 Error: 1.04495 Loss: 1.01813 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.34s\n",
            "159040 Examples seen. Accuracy: 0.6036 Error: 0.88928 Loss: 1.08346 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.37s\n",
            "159680 Examples seen. Accuracy: 0.6046 Error: 1.04162 Loss: 1.01996 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.33s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 4 Examples seen:160000 Validation Accuracy: 0.5712 Validation Error: 1.1551 Validation Loss: 1.2014 Total time: 14.30min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.252 Min Weight:  -0.242 Max Output:  3.777 Min Output: -3.985 TNNetConvolutionLinear 32,32,64 Times: 30.15s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  3.777 Min Output: -1.254 TNNetMaxPool 8,8,64 Times: 6.89s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.861 Min Weight:   0.596 Max Output:  3.696 Min Output: -2.149 TNNetMovingStdNormalization 8,8,64 Times: 0.14s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.107 Min Weight:  -0.110 Max Output:  4.717 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.03s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.114 Min Weight:  -0.116 Max Output:  3.411 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.10s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.124 Min Weight:  -0.108 Max Output:  1.954 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 5.91s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.127 Min Weight:  -0.113 Max Output:  1.609 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.11s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  1.609 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.03s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  1.609 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.48s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.186 Min Weight:  -0.146 Max Output:  2.576 Min Output: -2.644 TNNetFullConnectLinear 10,1,1 Times: 0.10s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.554 Min Output:  0.003 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Epoch time: 2.4229 minutes. 50 epochs: 2.0191 hours.\n",
            "Epochs: 4. Working time: 0.24 hours.\n",
            "160640 Examples seen. Accuracy: 0.6022 Error: 1.02820 Loss: 1.13428 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.38s\n",
            "161280 Examples seen. Accuracy: 0.6022 Error: 1.05159 Loss: 1.05270 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.33s\n",
            "161920 Examples seen. Accuracy: 0.6058 Error: 1.00540 Loss: 1.10244 Threads: 2 Forward time: 0.67s Backward time: 0.45s Step time: 2.36s\n",
            "162560 Examples seen. Accuracy: 0.6051 Error: 0.97309 Loss: 0.98486 Threads: 2 Forward time: 0.72s Backward time: 0.45s Step time: 2.32s\n",
            "163200 Examples seen. Accuracy: 0.6049 Error: 1.02378 Loss: 1.09324 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.32s\n",
            "163840 Examples seen. Accuracy: 0.6050 Error: 0.98171 Loss: 1.05447 Threads: 2 Forward time: 0.70s Backward time: 0.44s Step time: 2.38s\n",
            "164480 Examples seen. Accuracy: 0.6063 Error: 1.08927 Loss: 1.17961 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.36s\n",
            "165120 Examples seen. Accuracy: 0.6057 Error: 1.07732 Loss: 1.12248 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.31s\n",
            "165760 Examples seen. Accuracy: 0.6063 Error: 0.92235 Loss: 0.98999 Threads: 2 Forward time: 0.68s Backward time: 0.46s Step time: 2.32s\n",
            "166400 Examples seen. Accuracy: 0.6082 Error: 1.01425 Loss: 1.06065 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.32s\n",
            "167040 Examples seen. Accuracy: 0.6063 Error: 1.04411 Loss: 1.14851 Threads: 2 Forward time: 0.74s Backward time: 0.47s Step time: 2.36s\n",
            "167680 Examples seen. Accuracy: 0.6105 Error: 0.84269 Loss: 0.85942 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.38s\n",
            "168320 Examples seen. Accuracy: 0.6112 Error: 1.09453 Loss: 1.24523 Threads: 2 Forward time: 0.66s Backward time: 0.45s Step time: 2.32s\n",
            "168960 Examples seen. Accuracy: 0.6112 Error: 0.96294 Loss: 1.00242 Threads: 2 Forward time: 0.71s Backward time: 0.45s Step time: 2.32s\n",
            "169600 Examples seen. Accuracy: 0.6121 Error: 1.07545 Loss: 1.16168 Threads: 2 Forward time: 0.67s Backward time: 0.46s Step time: 2.37s\n",
            "170240 Examples seen. Accuracy: 0.6138 Error: 1.01232 Loss: 1.10694 Threads: 2 Forward time: 0.67s Backward time: 0.46s Step time: 2.36s\n",
            "170880 Examples seen. Accuracy: 0.6122 Error: 1.10105 Loss: 1.30855 Threads: 2 Forward time: 0.69s Backward time: 0.45s Step time: 2.37s\n",
            "171520 Examples seen. Accuracy: 0.6142 Error: 1.06088 Loss: 1.04755 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.35s\n",
            "172160 Examples seen. Accuracy: 0.6199 Error: 0.83291 Loss: 1.01911 Threads: 2 Forward time: 0.66s Backward time: 0.45s Step time: 2.31s\n",
            "172800 Examples seen. Accuracy: 0.6223 Error: 0.85590 Loss: 0.78383 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.36s\n",
            "173440 Examples seen. Accuracy: 0.6198 Error: 1.06112 Loss: 1.14728 Threads: 2 Forward time: 0.69s Backward time: 0.45s Step time: 2.34s\n",
            "174080 Examples seen. Accuracy: 0.6217 Error: 0.97505 Loss: 0.93777 Threads: 2 Forward time: 0.68s Backward time: 0.47s Step time: 2.33s\n",
            "174720 Examples seen. Accuracy: 0.6211 Error: 0.97522 Loss: 1.03195 Threads: 2 Forward time: 0.68s Backward time: 0.46s Step time: 2.36s\n",
            "175360 Examples seen. Accuracy: 0.6228 Error: 0.87507 Loss: 0.88380 Threads: 2 Forward time: 0.72s Backward time: 0.46s Step time: 2.37s\n",
            "176000 Examples seen. Accuracy: 0.6212 Error: 1.16597 Loss: 1.20718 Threads: 2 Forward time: 0.67s Backward time: 0.45s Step time: 2.35s\n",
            "176640 Examples seen. Accuracy: 0.6230 Error: 1.01122 Loss: 1.18690 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.34s\n",
            "177280 Examples seen. Accuracy: 0.6185 Error: 1.02248 Loss: 0.98817 Threads: 2 Forward time: 0.69s Backward time: 0.46s Step time: 2.35s\n",
            "177920 Examples seen. Accuracy: 0.6188 Error: 1.06655 Loss: 1.06127 Threads: 2 Forward time: 0.66s Backward time: 0.45s Step time: 2.33s\n",
            "178560 Examples seen. Accuracy: 0.6180 Error: 0.97312 Loss: 1.14437 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.38s\n",
            "179200 Examples seen. Accuracy: 0.6215 Error: 1.03910 Loss: 1.08587 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.34s\n",
            "179840 Examples seen. Accuracy: 0.6208 Error: 0.98562 Loss: 1.01533 Threads: 2 Forward time: 0.67s Backward time: 0.45s Step time: 2.34s\n",
            "180480 Examples seen. Accuracy: 0.6212 Error: 1.02901 Loss: 1.27258 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.34s\n",
            "181120 Examples seen. Accuracy: 0.6230 Error: 0.83415 Loss: 0.82829 Threads: 2 Forward time: 0.67s Backward time: 0.46s Step time: 2.37s\n",
            "181760 Examples seen. Accuracy: 0.6233 Error: 0.97535 Loss: 0.99595 Threads: 2 Forward time: 0.72s Backward time: 0.44s Step time: 2.34s\n",
            "182400 Examples seen. Accuracy: 0.6225 Error: 0.87811 Loss: 0.85344 Threads: 2 Forward time: 0.66s Backward time: 0.47s Step time: 2.35s\n",
            "183040 Examples seen. Accuracy: 0.6225 Error: 0.85728 Loss: 0.80623 Threads: 2 Forward time: 0.66s Backward time: 0.46s Step time: 2.32s\n",
            "183680 Examples seen. Accuracy: 0.6218 Error: 0.92311 Loss: 0.95655 Threads: 2 Forward time: 0.70s Backward time: 0.47s Step time: 2.37s\n",
            "184320 Examples seen. Accuracy: 0.6234 Error: 0.94198 Loss: 0.93368 Threads: 2 Forward time: 0.68s Backward time: 0.46s Step time: 2.38s\n",
            "184960 Examples seen. Accuracy: 0.6222 Error: 0.94934 Loss: 0.99408 Threads: 2 Forward time: 0.67s Backward time: 0.46s Step time: 2.40s\n",
            "185600 Examples seen. Accuracy: 0.6199 Error: 0.90684 Loss: 1.01579 Threads: 2 Forward time: 0.70s Backward time: 0.46s Step time: 2.37s\n",
            "186240 Examples seen. Accuracy: 0.6204 Error: 0.95989 Loss: 1.00655 Threads: 2 Forward time: 0.67s Backward time: 0.45s Step time: 2.33s\n",
            "186880 Examples seen. Accuracy: 0.6219 Error: 0.96921 Loss: 1.03707 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.33s\n",
            "187520 Examples seen. Accuracy: 0.6229 Error: 1.06548 Loss: 1.11824 Threads: 2 Forward time: 0.69s Backward time: 0.48s Step time: 2.37s\n",
            "188160 Examples seen. Accuracy: 0.6253 Error: 1.05412 Loss: 1.07881 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.33s\n",
            "188800 Examples seen. Accuracy: 0.6247 Error: 1.00579 Loss: 1.13074 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.33s\n",
            "189440 Examples seen. Accuracy: 0.6280 Error: 0.94236 Loss: 0.97535 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.36s\n",
            "190080 Examples seen. Accuracy: 0.6275 Error: 1.01475 Loss: 1.00532 Threads: 2 Forward time: 0.70s Backward time: 0.46s Step time: 2.33s\n",
            "190720 Examples seen. Accuracy: 0.6283 Error: 0.91269 Loss: 0.97482 Threads: 2 Forward time: 0.66s Backward time: 0.44s Step time: 2.33s\n",
            "191360 Examples seen. Accuracy: 0.6280 Error: 0.92642 Loss: 1.02756 Threads: 2 Forward time: 0.67s Backward time: 0.45s Step time: 2.34s\n",
            "192000 Examples seen. Accuracy: 0.6243 Error: 0.82342 Loss: 0.87881 Threads: 2 Forward time: 0.70s Backward time: 0.44s Step time: 2.33s\n",
            "192640 Examples seen. Accuracy: 0.6259 Error: 0.93359 Loss: 1.03371 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.36s\n",
            "193280 Examples seen. Accuracy: 0.6257 Error: 1.01015 Loss: 1.11906 Threads: 2 Forward time: 0.68s Backward time: 0.46s Step time: 2.37s\n",
            "193920 Examples seen. Accuracy: 0.6241 Error: 0.92462 Loss: 0.98118 Threads: 2 Forward time: 0.70s Backward time: 0.45s Step time: 2.34s\n",
            "194560 Examples seen. Accuracy: 0.6237 Error: 1.00565 Loss: 1.07568 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.32s\n",
            "195200 Examples seen. Accuracy: 0.6277 Error: 0.80101 Loss: 0.83433 Threads: 2 Forward time: 0.66s Backward time: 0.46s Step time: 2.32s\n",
            "195840 Examples seen. Accuracy: 0.6305 Error: 0.94517 Loss: 1.12437 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.32s\n",
            "196480 Examples seen. Accuracy: 0.6321 Error: 1.04707 Loss: 1.12696 Threads: 2 Forward time: 0.71s Backward time: 0.46s Step time: 2.33s\n",
            "197120 Examples seen. Accuracy: 0.6312 Error: 0.92833 Loss: 0.96707 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.32s\n",
            "197760 Examples seen. Accuracy: 0.6345 Error: 0.87504 Loss: 0.87752 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.33s\n",
            "198400 Examples seen. Accuracy: 0.6382 Error: 0.97443 Loss: 0.97866 Threads: 2 Forward time: 0.66s Backward time: 0.45s Step time: 2.32s\n",
            "199040 Examples seen. Accuracy: 0.6379 Error: 1.00369 Loss: 1.13482 Threads: 2 Forward time: 0.69s Backward time: 0.47s Step time: 2.36s\n",
            "199680 Examples seen. Accuracy: 0.6357 Error: 0.79795 Loss: 0.78376 Threads: 2 Forward time: 0.67s Backward time: 0.46s Step time: 2.36s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 5 Examples seen:200000 Validation Accuracy: 0.5977 Validation Error: 1.1206 Validation Loss: 1.1437 Total time: 17.79min\n",
            "Epoch time: 2.4615 minutes. 50 epochs: 2.0512 hours.\n",
            "Epochs: 5. Working time: 0.30 hours.\n",
            "200640 Examples seen. Accuracy: 0.6340 Error: 0.92656 Loss: 1.00299 Threads: 2 Forward time: 0.67s Backward time: 0.46s Step time: 2.33s\n",
            "201280 Examples seen. Accuracy: 0.6319 Error: 0.95938 Loss: 1.14827 Threads: 2 Forward time: 0.69s Backward time: 0.49s Step time: 2.35s\n",
            "201920 Examples seen. Accuracy: 0.6293 Error: 1.06460 Loss: 1.11463 Threads: 2 Forward time: 0.66s Backward time: 0.44s Step time: 2.32s\n",
            "202560 Examples seen. Accuracy: 0.6257 Error: 0.99327 Loss: 1.10830 Threads: 2 Forward time: 0.68s Backward time: 0.46s Step time: 2.33s\n",
            "203200 Examples seen. Accuracy: 0.6257 Error: 0.89696 Loss: 0.90306 Threads: 2 Forward time: 0.71s Backward time: 0.47s Step time: 2.36s\n",
            "203840 Examples seen. Accuracy: 0.6308 Error: 0.81209 Loss: 0.86287 Threads: 2 Forward time: 0.66s Backward time: 0.45s Step time: 2.36s\n",
            "204480 Examples seen. Accuracy: 0.6313 Error: 0.88187 Loss: 0.90381 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.34s\n",
            "205120 Examples seen. Accuracy: 0.6372 Error: 0.82707 Loss: 0.79100 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.36s\n",
            "205760 Examples seen. Accuracy: 0.6351 Error: 0.96984 Loss: 1.02852 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.31s\n",
            "206400 Examples seen. Accuracy: 0.6350 Error: 0.95105 Loss: 0.96745 Threads: 2 Forward time: 0.66s Backward time: 0.45s Step time: 2.29s\n",
            "207040 Examples seen. Accuracy: 0.6359 Error: 0.97298 Loss: 0.95440 Threads: 2 Forward time: 0.65s Backward time: 0.46s Step time: 2.29s\n",
            "207680 Examples seen. Accuracy: 0.6369 Error: 0.95721 Loss: 1.03644 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.34s\n",
            "208320 Examples seen. Accuracy: 0.6389 Error: 0.77683 Loss: 0.88934 Threads: 2 Forward time: 0.68s Backward time: 0.46s Step time: 2.33s\n",
            "208960 Examples seen. Accuracy: 0.6370 Error: 0.84208 Loss: 0.83019 Threads: 2 Forward time: 0.69s Backward time: 0.47s Step time: 2.33s\n",
            "209600 Examples seen. Accuracy: 0.6378 Error: 0.92404 Loss: 0.92688 Threads: 2 Forward time: 0.66s Backward time: 0.44s Step time: 2.32s\n",
            "210240 Examples seen. Accuracy: 0.6371 Error: 0.91755 Loss: 0.93381 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.31s\n",
            "210880 Examples seen. Accuracy: 0.6349 Error: 1.07281 Loss: 1.23049 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.37s\n",
            "211520 Examples seen. Accuracy: 0.6344 Error: 0.88252 Loss: 0.87913 Threads: 2 Forward time: 0.66s Backward time: 0.44s Step time: 2.32s\n",
            "212160 Examples seen. Accuracy: 0.6370 Error: 0.78111 Loss: 0.80427 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.29s\n",
            "212800 Examples seen. Accuracy: 0.6374 Error: 0.80105 Loss: 0.83192 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.31s\n",
            "213440 Examples seen. Accuracy: 0.6397 Error: 0.87028 Loss: 0.82421 Threads: 2 Forward time: 0.66s Backward time: 0.45s Step time: 2.29s\n",
            "214080 Examples seen. Accuracy: 0.6382 Error: 1.02596 Loss: 1.48838 Threads: 2 Forward time: 0.66s Backward time: 0.44s Step time: 2.30s\n",
            "214720 Examples seen. Accuracy: 0.6414 Error: 0.99155 Loss: 1.09154 Threads: 2 Forward time: 0.69s Backward time: 0.47s Step time: 2.32s\n",
            "215360 Examples seen. Accuracy: 0.6396 Error: 0.92797 Loss: 0.98854 Threads: 2 Forward time: 0.66s Backward time: 0.45s Step time: 2.31s\n",
            "216000 Examples seen. Accuracy: 0.6380 Error: 1.10293 Loss: 1.22358 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.38s\n",
            "216640 Examples seen. Accuracy: 0.6399 Error: 1.02033 Loss: 1.33986 Threads: 2 Forward time: 0.67s Backward time: 0.45s Step time: 2.32s\n",
            "217280 Examples seen. Accuracy: 0.6402 Error: 0.97859 Loss: 1.13347 Threads: 2 Forward time: 0.72s Backward time: 0.43s Step time: 2.34s\n",
            "217920 Examples seen. Accuracy: 0.6403 Error: 1.07421 Loss: 1.19600 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.31s\n",
            "218560 Examples seen. Accuracy: 0.6415 Error: 1.01226 Loss: 1.23750 Threads: 2 Forward time: 0.71s Backward time: 0.46s Step time: 2.31s\n",
            "219200 Examples seen. Accuracy: 0.6431 Error: 0.93929 Loss: 1.00604 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.30s\n",
            "219840 Examples seen. Accuracy: 0.6442 Error: 1.01110 Loss: 1.01819 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.34s\n",
            "220480 Examples seen. Accuracy: 0.6451 Error: 1.04194 Loss: 1.14600 Threads: 2 Forward time: 0.66s Backward time: 0.44s Step time: 2.33s\n",
            "221120 Examples seen. Accuracy: 0.6445 Error: 0.86636 Loss: 0.92328 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.30s\n",
            "221760 Examples seen. Accuracy: 0.6457 Error: 0.94119 Loss: 1.10345 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.31s\n",
            "222400 Examples seen. Accuracy: 0.6417 Error: 1.01641 Loss: 1.17796 Threads: 2 Forward time: 0.65s Backward time: 0.44s Step time: 2.30s\n",
            "223040 Examples seen. Accuracy: 0.6434 Error: 0.92372 Loss: 1.09811 Threads: 2 Forward time: 0.66s Backward time: 0.44s Step time: 2.29s\n",
            "223680 Examples seen. Accuracy: 0.6424 Error: 0.87976 Loss: 0.83098 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.31s\n",
            "224320 Examples seen. Accuracy: 0.6400 Error: 0.97100 Loss: 0.93698 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.29s\n",
            "224960 Examples seen. Accuracy: 0.6404 Error: 0.94412 Loss: 1.03400 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.36s\n",
            "225600 Examples seen. Accuracy: 0.6386 Error: 0.96877 Loss: 1.09604 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.37s\n",
            "226240 Examples seen. Accuracy: 0.6413 Error: 0.68084 Loss: 0.68411 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.35s\n",
            "226880 Examples seen. Accuracy: 0.6399 Error: 1.01626 Loss: 1.09217 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.31s\n",
            "227520 Examples seen. Accuracy: 0.6425 Error: 0.94883 Loss: 1.13541 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.30s\n",
            "228160 Examples seen. Accuracy: 0.6426 Error: 0.90699 Loss: 1.01289 Threads: 2 Forward time: 0.66s Backward time: 0.44s Step time: 2.29s\n",
            "228800 Examples seen. Accuracy: 0.6450 Error: 0.96422 Loss: 1.22883 Threads: 2 Forward time: 0.72s Backward time: 0.46s Step time: 2.34s\n",
            "229440 Examples seen. Accuracy: 0.6438 Error: 0.88007 Loss: 0.82281 Threads: 2 Forward time: 0.66s Backward time: 0.45s Step time: 2.30s\n",
            "230080 Examples seen. Accuracy: 0.6428 Error: 0.91463 Loss: 1.09818 Threads: 2 Forward time: 0.66s Backward time: 0.45s Step time: 2.32s\n",
            "230720 Examples seen. Accuracy: 0.6405 Error: 1.00789 Loss: 1.14272 Threads: 2 Forward time: 0.69s Backward time: 0.45s Step time: 2.31s\n",
            "231360 Examples seen. Accuracy: 0.6418 Error: 0.96387 Loss: 0.99789 Threads: 2 Forward time: 0.67s Backward time: 0.46s Step time: 2.33s\n",
            "232000 Examples seen. Accuracy: 0.6426 Error: 0.99947 Loss: 1.00277 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.33s\n",
            "232640 Examples seen. Accuracy: 0.6425 Error: 0.99527 Loss: 1.03264 Threads: 2 Forward time: 0.66s Backward time: 0.44s Step time: 2.31s\n",
            "233280 Examples seen. Accuracy: 0.6431 Error: 1.01942 Loss: 1.32953 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.31s\n",
            "233920 Examples seen. Accuracy: 0.6430 Error: 0.91747 Loss: 0.95371 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.31s\n",
            "234560 Examples seen. Accuracy: 0.6425 Error: 0.94861 Loss: 0.99667 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.33s\n",
            "235200 Examples seen. Accuracy: 0.6414 Error: 0.96205 Loss: 1.11025 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.30s\n",
            "235840 Examples seen. Accuracy: 0.6411 Error: 0.96424 Loss: 1.07136 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.32s\n",
            "236480 Examples seen. Accuracy: 0.6402 Error: 0.83694 Loss: 0.84988 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.29s\n",
            "237120 Examples seen. Accuracy: 0.6417 Error: 0.83658 Loss: 0.84442 Threads: 2 Forward time: 0.71s Backward time: 0.48s Step time: 2.33s\n",
            "237760 Examples seen. Accuracy: 0.6438 Error: 0.83238 Loss: 0.87519 Threads: 2 Forward time: 0.71s Backward time: 0.48s Step time: 2.43s\n",
            "238400 Examples seen. Accuracy: 0.6467 Error: 0.81255 Loss: 0.89347 Threads: 2 Forward time: 0.69s Backward time: 0.46s Step time: 2.38s\n",
            "239040 Examples seen. Accuracy: 0.6485 Error: 1.01966 Loss: 1.11521 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.32s\n",
            "239680 Examples seen. Accuracy: 0.6502 Error: 0.85513 Loss: 0.85761 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.31s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 6 Examples seen:240000 Validation Accuracy: 0.6216 Validation Error: 1.0832 Validation Loss: 1.0860 Total time: 21.25min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.267 Min Weight:  -0.266 Max Output:  3.712 Min Output: -4.069 TNNetConvolutionLinear 32,32,64 Times: 30.14s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  3.712 Min Output: -1.107 TNNetMaxPool 8,8,64 Times: 7.06s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.809 Min Weight:   0.611 Max Output:  3.833 Min Output: -2.124 TNNetMovingStdNormalization 8,8,64 Times: 0.13s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.113 Min Weight:  -0.118 Max Output:  5.113 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 5.98s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.128 Min Weight:  -0.121 Max Output:  3.537 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 5.97s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.132 Min Weight:  -0.118 Max Output:  2.158 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.09s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.129 Min Weight:  -0.119 Max Output:  1.431 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.13s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  1.431 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.03s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  1.431 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.45s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.188 Min Weight:  -0.155 Max Output:  2.511 Min Output: -3.327 TNNetFullConnectLinear 10,1,1 Times: 0.08s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.482 Min Output:  0.001 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Epoch time: 2.4021 minutes. 50 epochs: 2.0017 hours.\n",
            "Epochs: 6. Working time: 0.35 hours.\n",
            "240640 Examples seen. Accuracy: 0.6514 Error: 1.05593 Loss: 1.24585 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.28s\n",
            "241280 Examples seen. Accuracy: 0.6528 Error: 1.00934 Loss: 1.21984 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.29s\n",
            "241920 Examples seen. Accuracy: 0.6512 Error: 0.98645 Loss: 0.99501 Threads: 2 Forward time: 0.70s Backward time: 0.44s Step time: 2.28s\n",
            "242560 Examples seen. Accuracy: 0.6503 Error: 0.97602 Loss: 1.06098 Threads: 2 Forward time: 0.65s Backward time: 0.43s Step time: 2.29s\n",
            "243200 Examples seen. Accuracy: 0.6483 Error: 0.93434 Loss: 0.93540 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.27s\n",
            "243840 Examples seen. Accuracy: 0.6486 Error: 0.87679 Loss: 0.86060 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.27s\n",
            "244480 Examples seen. Accuracy: 0.6480 Error: 0.90356 Loss: 0.97229 Threads: 2 Forward time: 0.69s Backward time: 0.45s Step time: 2.30s\n",
            "245120 Examples seen. Accuracy: 0.6462 Error: 1.09681 Loss: 1.24257 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.29s\n",
            "245760 Examples seen. Accuracy: 0.6484 Error: 0.80445 Loss: 0.87402 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.28s\n",
            "246400 Examples seen. Accuracy: 0.6497 Error: 0.89923 Loss: 0.95752 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.34s\n",
            "247040 Examples seen. Accuracy: 0.6525 Error: 0.93155 Loss: 0.95608 Threads: 2 Forward time: 0.66s Backward time: 0.44s Step time: 2.31s\n",
            "247680 Examples seen. Accuracy: 0.6504 Error: 0.92839 Loss: 0.87156 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.27s\n",
            "248320 Examples seen. Accuracy: 0.6497 Error: 0.97887 Loss: 1.11965 Threads: 2 Forward time: 0.65s Backward time: 0.45s Step time: 2.27s\n",
            "248960 Examples seen. Accuracy: 0.6520 Error: 0.86699 Loss: 0.92019 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.27s\n",
            "249600 Examples seen. Accuracy: 0.6523 Error: 0.90719 Loss: 1.00199 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.27s\n",
            "250240 Examples seen. Accuracy: 0.6530 Error: 0.90950 Loss: 1.07124 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.27s\n",
            "250880 Examples seen. Accuracy: 0.6544 Error: 0.80067 Loss: 0.80112 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.27s\n",
            "251520 Examples seen. Accuracy: 0.6582 Error: 0.74866 Loss: 0.74906 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.28s\n",
            "252160 Examples seen. Accuracy: 0.6592 Error: 0.89516 Loss: 0.91860 Threads: 2 Forward time: 0.73s Backward time: 0.44s Step time: 2.32s\n",
            "252800 Examples seen. Accuracy: 0.6594 Error: 0.81464 Loss: 0.81126 Threads: 2 Forward time: 0.67s Backward time: 0.45s Step time: 2.32s\n",
            "253440 Examples seen. Accuracy: 0.6575 Error: 0.94119 Loss: 1.14373 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.31s\n",
            "254080 Examples seen. Accuracy: 0.6591 Error: 0.72000 Loss: 0.73080 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.28s\n",
            "254720 Examples seen. Accuracy: 0.6598 Error: 0.89996 Loss: 0.99644 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.29s\n",
            "255360 Examples seen. Accuracy: 0.6626 Error: 0.71628 Loss: 0.80722 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.28s\n",
            "256000 Examples seen. Accuracy: 0.6633 Error: 0.87480 Loss: 0.90962 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.28s\n",
            "256640 Examples seen. Accuracy: 0.6648 Error: 0.71119 Loss: 0.71887 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.27s\n",
            "257280 Examples seen. Accuracy: 0.6637 Error: 0.81723 Loss: 0.85206 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.28s\n",
            "257920 Examples seen. Accuracy: 0.6626 Error: 1.09709 Loss: 1.18089 Threads: 2 Forward time: 0.68s Backward time: 0.46s Step time: 2.32s\n",
            "258560 Examples seen. Accuracy: 0.6639 Error: 1.02364 Loss: 1.12581 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.37s\n",
            "259200 Examples seen. Accuracy: 0.6655 Error: 0.71246 Loss: 0.77271 Threads: 2 Forward time: 0.67s Backward time: 0.46s Step time: 2.36s\n",
            "259840 Examples seen. Accuracy: 0.6642 Error: 0.94031 Loss: 1.10884 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.34s\n",
            "260480 Examples seen. Accuracy: 0.6633 Error: 0.95615 Loss: 1.12876 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.28s\n",
            "261120 Examples seen. Accuracy: 0.6620 Error: 0.88772 Loss: 1.07373 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.28s\n",
            "261760 Examples seen. Accuracy: 0.6620 Error: 0.98767 Loss: 1.01650 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.33s\n",
            "262400 Examples seen. Accuracy: 0.6634 Error: 0.83257 Loss: 0.82805 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.32s\n",
            "263040 Examples seen. Accuracy: 0.6635 Error: 0.90364 Loss: 0.98802 Threads: 2 Forward time: 0.67s Backward time: 0.45s Step time: 2.32s\n",
            "263680 Examples seen. Accuracy: 0.6633 Error: 0.79628 Loss: 1.09021 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.32s\n",
            "264320 Examples seen. Accuracy: 0.6649 Error: 0.85204 Loss: 0.94030 Threads: 2 Forward time: 0.68s Backward time: 0.46s Step time: 2.30s\n",
            "264960 Examples seen. Accuracy: 0.6628 Error: 0.86950 Loss: 0.95321 Threads: 2 Forward time: 0.65s Backward time: 0.43s Step time: 2.26s\n",
            "265600 Examples seen. Accuracy: 0.6644 Error: 0.85000 Loss: 0.96080 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.26s\n",
            "266240 Examples seen. Accuracy: 0.6613 Error: 0.93168 Loss: 1.06479 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.26s\n",
            "266880 Examples seen. Accuracy: 0.6585 Error: 0.93783 Loss: 0.95848 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.25s\n",
            "267520 Examples seen. Accuracy: 0.6588 Error: 1.06285 Loss: 1.23863 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.32s\n",
            "268160 Examples seen. Accuracy: 0.6592 Error: 0.91578 Loss: 0.92424 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.32s\n",
            "268800 Examples seen. Accuracy: 0.6577 Error: 0.80375 Loss: 0.81949 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.31s\n",
            "269440 Examples seen. Accuracy: 0.6588 Error: 0.90486 Loss: 1.01750 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.30s\n",
            "270080 Examples seen. Accuracy: 0.6619 Error: 0.94658 Loss: 1.00524 Threads: 2 Forward time: 0.70s Backward time: 0.44s Step time: 2.25s\n",
            "270720 Examples seen. Accuracy: 0.6604 Error: 0.87354 Loss: 0.95574 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.26s\n",
            "271360 Examples seen. Accuracy: 0.6600 Error: 0.88130 Loss: 1.03322 Threads: 2 Forward time: 0.65s Backward time: 0.43s Step time: 2.28s\n",
            "272000 Examples seen. Accuracy: 0.6568 Error: 0.99213 Loss: 0.98421 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "272640 Examples seen. Accuracy: 0.6519 Error: 0.96752 Loss: 0.98813 Threads: 2 Forward time: 0.70s Backward time: 0.47s Step time: 2.31s\n",
            "273280 Examples seen. Accuracy: 0.6512 Error: 1.09135 Loss: 1.28151 Threads: 2 Forward time: 0.65s Backward time: 0.42s Step time: 2.30s\n",
            "273920 Examples seen. Accuracy: 0.6534 Error: 0.81518 Loss: 0.76397 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.26s\n",
            "274560 Examples seen. Accuracy: 0.6545 Error: 0.81300 Loss: 0.84880 Threads: 2 Forward time: 0.70s Backward time: 0.45s Step time: 2.29s\n",
            "275200 Examples seen. Accuracy: 0.6529 Error: 0.85933 Loss: 0.85624 Threads: 2 Forward time: 0.70s Backward time: 0.46s Step time: 2.37s\n",
            "275840 Examples seen. Accuracy: 0.6539 Error: 1.01306 Loss: 1.04145 Threads: 2 Forward time: 0.65s Backward time: 0.43s Step time: 2.30s\n",
            "276480 Examples seen. Accuracy: 0.6572 Error: 0.95905 Loss: 1.08669 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.28s\n",
            "277120 Examples seen. Accuracy: 0.6537 Error: 0.86275 Loss: 0.91495 Threads: 2 Forward time: 0.69s Backward time: 0.46s Step time: 2.36s\n",
            "277760 Examples seen. Accuracy: 0.6540 Error: 0.92852 Loss: 0.86510 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.33s\n",
            "278400 Examples seen. Accuracy: 0.6537 Error: 0.94450 Loss: 1.03397 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.31s\n",
            "279040 Examples seen. Accuracy: 0.6558 Error: 0.83445 Loss: 1.00823 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.30s\n",
            "279680 Examples seen. Accuracy: 0.6608 Error: 0.93242 Loss: 1.11469 Threads: 2 Forward time: 0.72s Backward time: 0.43s Step time: 2.34s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 7 Examples seen:280000 Validation Accuracy: 0.6468 Validation Error: 1.0372 Validation Loss: 1.0213 Total time: 24.69min\n",
            "Epoch time: 2.4375 minutes. 50 epochs: 2.0313 hours.\n",
            "Epochs: 7. Working time: 0.41 hours.\n",
            "280640 Examples seen. Accuracy: 0.6595 Error: 0.82600 Loss: 0.94376 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.26s\n",
            "281280 Examples seen. Accuracy: 0.6623 Error: 0.90251 Loss: 0.96588 Threads: 2 Forward time: 0.65s Backward time: 0.42s Step time: 2.26s\n",
            "281920 Examples seen. Accuracy: 0.6631 Error: 0.89004 Loss: 0.82104 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.26s\n",
            "282560 Examples seen. Accuracy: 0.6635 Error: 0.88271 Loss: 1.00724 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.30s\n",
            "283200 Examples seen. Accuracy: 0.6644 Error: 0.62600 Loss: 0.60408 Threads: 2 Forward time: 0.67s Backward time: 0.46s Step time: 2.29s\n",
            "283840 Examples seen. Accuracy: 0.6698 Error: 0.71501 Loss: 0.73127 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.32s\n",
            "284480 Examples seen. Accuracy: 0.6680 Error: 0.92484 Loss: 1.00859 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.29s\n",
            "285120 Examples seen. Accuracy: 0.6687 Error: 0.93158 Loss: 1.05683 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.26s\n",
            "285760 Examples seen. Accuracy: 0.6653 Error: 1.02391 Loss: 1.05976 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.26s\n",
            "286400 Examples seen. Accuracy: 0.6670 Error: 0.69469 Loss: 0.70708 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.28s\n",
            "287040 Examples seen. Accuracy: 0.6678 Error: 0.72668 Loss: 0.71559 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.29s\n",
            "287680 Examples seen. Accuracy: 0.6666 Error: 0.91634 Loss: 0.93299 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.27s\n",
            "288320 Examples seen. Accuracy: 0.6669 Error: 0.88425 Loss: 0.84828 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.26s\n",
            "288960 Examples seen. Accuracy: 0.6679 Error: 0.83965 Loss: 0.85687 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.25s\n",
            "289600 Examples seen. Accuracy: 0.6701 Error: 0.79211 Loss: 0.77677 Threads: 2 Forward time: 0.70s Backward time: 0.45s Step time: 2.29s\n",
            "290240 Examples seen. Accuracy: 0.6729 Error: 0.70112 Loss: 0.80414 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.27s\n",
            "290880 Examples seen. Accuracy: 0.6745 Error: 0.99169 Loss: 1.07779 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.27s\n",
            "291520 Examples seen. Accuracy: 0.6764 Error: 0.85950 Loss: 0.89610 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "292160 Examples seen. Accuracy: 0.6765 Error: 0.76061 Loss: 0.80193 Threads: 2 Forward time: 0.65s Backward time: 0.42s Step time: 2.24s\n",
            "292800 Examples seen. Accuracy: 0.6762 Error: 0.86220 Loss: 0.92161 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.28s\n",
            "293440 Examples seen. Accuracy: 0.6778 Error: 0.80205 Loss: 0.74136 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "294080 Examples seen. Accuracy: 0.6748 Error: 0.91620 Loss: 0.92760 Threads: 2 Forward time: 0.66s Backward time: 0.44s Step time: 2.25s\n",
            "294720 Examples seen. Accuracy: 0.6746 Error: 0.82923 Loss: 0.84221 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.28s\n",
            "295360 Examples seen. Accuracy: 0.6760 Error: 1.05348 Loss: 1.27101 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.25s\n",
            "296000 Examples seen. Accuracy: 0.6771 Error: 0.85328 Loss: 0.85372 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.27s\n",
            "296640 Examples seen. Accuracy: 0.6754 Error: 0.99165 Loss: 1.20119 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.25s\n",
            "297280 Examples seen. Accuracy: 0.6734 Error: 0.94531 Loss: 1.10762 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.26s\n",
            "297920 Examples seen. Accuracy: 0.6716 Error: 1.00206 Loss: 1.22243 Threads: 2 Forward time: 0.65s Backward time: 0.41s Step time: 2.23s\n",
            "298560 Examples seen. Accuracy: 0.6709 Error: 0.95735 Loss: 0.95216 Threads: 2 Forward time: 0.70s Backward time: 0.44s Step time: 2.27s\n",
            "299200 Examples seen. Accuracy: 0.6697 Error: 0.94498 Loss: 1.03192 Threads: 2 Forward time: 0.67s Backward time: 0.45s Step time: 2.30s\n",
            "299840 Examples seen. Accuracy: 0.6730 Error: 0.84626 Loss: 0.89177 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.27s\n",
            "300480 Examples seen. Accuracy: 0.6747 Error: 0.81766 Loss: 0.88894 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.29s\n",
            "301120 Examples seen. Accuracy: 0.6755 Error: 0.80451 Loss: 0.83018 Threads: 2 Forward time: 0.72s Backward time: 0.42s Step time: 2.25s\n",
            "301760 Examples seen. Accuracy: 0.6763 Error: 0.92576 Loss: 0.93402 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.25s\n",
            "302400 Examples seen. Accuracy: 0.6737 Error: 0.96477 Loss: 1.09257 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.24s\n",
            "303040 Examples seen. Accuracy: 0.6722 Error: 0.81764 Loss: 0.80887 Threads: 2 Forward time: 0.67s Backward time: 0.45s Step time: 2.26s\n",
            "303680 Examples seen. Accuracy: 0.6756 Error: 0.84041 Loss: 0.91604 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.29s\n",
            "304320 Examples seen. Accuracy: 0.6732 Error: 0.93256 Loss: 1.09922 Threads: 2 Forward time: 0.69s Backward time: 0.46s Step time: 2.32s\n",
            "304960 Examples seen. Accuracy: 0.6754 Error: 0.81657 Loss: 0.87520 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.27s\n",
            "305600 Examples seen. Accuracy: 0.6736 Error: 0.98567 Loss: 1.02651 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.26s\n",
            "306240 Examples seen. Accuracy: 0.6728 Error: 0.72973 Loss: 0.62668 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.26s\n",
            "306880 Examples seen. Accuracy: 0.6743 Error: 0.73370 Loss: 0.72145 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.26s\n",
            "307520 Examples seen. Accuracy: 0.6746 Error: 0.67468 Loss: 0.72256 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "308160 Examples seen. Accuracy: 0.6740 Error: 1.03030 Loss: 1.14193 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.25s\n",
            "308800 Examples seen. Accuracy: 0.6775 Error: 0.92522 Loss: 1.11043 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.25s\n",
            "309440 Examples seen. Accuracy: 0.6768 Error: 0.93354 Loss: 0.96485 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.28s\n",
            "310080 Examples seen. Accuracy: 0.6762 Error: 0.88760 Loss: 1.01510 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.27s\n",
            "310720 Examples seen. Accuracy: 0.6761 Error: 0.94432 Loss: 0.95214 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.25s\n",
            "311360 Examples seen. Accuracy: 0.6773 Error: 0.88861 Loss: 1.00425 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.25s\n",
            "312000 Examples seen. Accuracy: 0.6761 Error: 0.79803 Loss: 0.98969 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.26s\n",
            "312640 Examples seen. Accuracy: 0.6750 Error: 0.77377 Loss: 0.81355 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.27s\n",
            "313280 Examples seen. Accuracy: 0.6705 Error: 0.82089 Loss: 0.87615 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.23s\n",
            "313920 Examples seen. Accuracy: 0.6723 Error: 0.91588 Loss: 1.01952 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "314560 Examples seen. Accuracy: 0.6731 Error: 0.75757 Loss: 0.79069 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.25s\n",
            "315200 Examples seen. Accuracy: 0.6756 Error: 0.70881 Loss: 0.64134 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "315840 Examples seen. Accuracy: 0.6778 Error: 0.93236 Loss: 1.04414 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.25s\n",
            "316480 Examples seen. Accuracy: 0.6742 Error: 0.86207 Loss: 0.91547 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "317120 Examples seen. Accuracy: 0.6736 Error: 0.93038 Loss: 0.92133 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.23s\n",
            "317760 Examples seen. Accuracy: 0.6761 Error: 0.77638 Loss: 0.82470 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.27s\n",
            "318400 Examples seen. Accuracy: 0.6778 Error: 0.67504 Loss: 0.59215 Threads: 2 Forward time: 0.73s Backward time: 0.43s Step time: 2.27s\n",
            "319040 Examples seen. Accuracy: 0.6788 Error: 0.79351 Loss: 0.85345 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.25s\n",
            "319680 Examples seen. Accuracy: 0.6771 Error: 0.80269 Loss: 0.78314 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 8 Examples seen:320000 Validation Accuracy: 0.6726 Validation Error: 0.9813 Validation Loss: 0.9495 Total time: 28.09min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.286 Min Weight:  -0.305 Max Output:  3.617 Min Output: -4.113 TNNetConvolutionLinear 32,32,64 Times: 30.22s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  3.617 Min Output: -0.971 TNNetMaxPool 8,8,64 Times: 6.94s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.757 Min Weight:   0.632 Max Output:  3.945 Min Output: -2.119 TNNetMovingStdNormalization 8,8,64 Times: 0.13s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.128 Min Weight:  -0.137 Max Output:  5.824 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.22s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.143 Min Weight:  -0.129 Max Output:  3.624 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.06s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.143 Min Weight:  -0.127 Max Output:  2.186 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.15s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.150 Min Weight:  -0.126 Max Output:  1.446 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.16s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  1.446 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.03s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  1.446 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.43s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.207 Min Weight:  -0.173 Max Output:  2.373 Min Output: -3.884 TNNetFullConnectLinear 10,1,1 Times: 0.11s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.399 Min Output:  0.001 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Epoch time: 2.3333 minutes. 50 epochs: 1.9444 hours.\n",
            "Epochs: 8. Working time: 0.47 hours.\n",
            "320640 Examples seen. Accuracy: 0.6746 Error: 0.80608 Loss: 0.88726 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.29s\n",
            "321280 Examples seen. Accuracy: 0.6750 Error: 0.92418 Loss: 1.04939 Threads: 2 Forward time: 0.69s Backward time: 0.45s Step time: 2.33s\n",
            "321920 Examples seen. Accuracy: 0.6750 Error: 0.80783 Loss: 0.73848 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.32s\n",
            "322560 Examples seen. Accuracy: 0.6746 Error: 0.83216 Loss: 0.78996 Threads: 2 Forward time: 0.73s Backward time: 0.41s Step time: 2.29s\n",
            "323200 Examples seen. Accuracy: 0.6768 Error: 0.78246 Loss: 0.79558 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.27s\n",
            "323840 Examples seen. Accuracy: 0.6779 Error: 0.85623 Loss: 0.93316 Threads: 2 Forward time: 0.64s Backward time: 0.44s Step time: 2.26s\n",
            "324480 Examples seen. Accuracy: 0.6772 Error: 0.86815 Loss: 0.94828 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.28s\n",
            "325120 Examples seen. Accuracy: 0.6745 Error: 0.86923 Loss: 1.04023 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.33s\n",
            "325760 Examples seen. Accuracy: 0.6766 Error: 0.90301 Loss: 1.10009 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.27s\n",
            "326400 Examples seen. Accuracy: 0.6792 Error: 0.72691 Loss: 0.73168 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.25s\n",
            "327040 Examples seen. Accuracy: 0.6798 Error: 0.83889 Loss: 0.93271 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.28s\n",
            "327680 Examples seen. Accuracy: 0.6773 Error: 0.91944 Loss: 0.92991 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.33s\n",
            "328320 Examples seen. Accuracy: 0.6739 Error: 0.98521 Loss: 1.20311 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "328960 Examples seen. Accuracy: 0.6734 Error: 0.82776 Loss: 0.93424 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.25s\n",
            "329600 Examples seen. Accuracy: 0.6719 Error: 0.90022 Loss: 0.94998 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "330240 Examples seen. Accuracy: 0.6735 Error: 0.75942 Loss: 0.70869 Threads: 2 Forward time: 0.65s Backward time: 0.40s Step time: 2.24s\n",
            "330880 Examples seen. Accuracy: 0.6734 Error: 0.93974 Loss: 1.01319 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.24s\n",
            "331520 Examples seen. Accuracy: 0.6745 Error: 0.88273 Loss: 0.91846 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.30s\n",
            "332160 Examples seen. Accuracy: 0.6739 Error: 0.80025 Loss: 0.86264 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.29s\n",
            "332800 Examples seen. Accuracy: 0.6765 Error: 0.89051 Loss: 1.07191 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.26s\n",
            "333440 Examples seen. Accuracy: 0.6777 Error: 0.85595 Loss: 0.97014 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.25s\n",
            "334080 Examples seen. Accuracy: 0.6810 Error: 0.80774 Loss: 0.86967 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.26s\n",
            "334720 Examples seen. Accuracy: 0.6841 Error: 0.76323 Loss: 0.77481 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.24s\n",
            "335360 Examples seen. Accuracy: 0.6841 Error: 0.86440 Loss: 1.06786 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.25s\n",
            "336000 Examples seen. Accuracy: 0.6855 Error: 0.79173 Loss: 0.99724 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.31s\n",
            "336640 Examples seen. Accuracy: 0.6845 Error: 0.84526 Loss: 0.94543 Threads: 2 Forward time: 0.66s Backward time: 0.49s Step time: 2.29s\n",
            "337280 Examples seen. Accuracy: 0.6844 Error: 0.79016 Loss: 0.87642 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.32s\n",
            "337920 Examples seen. Accuracy: 0.6837 Error: 0.71374 Loss: 0.72188 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.32s\n",
            "338560 Examples seen. Accuracy: 0.6824 Error: 0.79755 Loss: 0.92635 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.28s\n",
            "339200 Examples seen. Accuracy: 0.6830 Error: 1.01271 Loss: 1.12879 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.26s\n",
            "339840 Examples seen. Accuracy: 0.6837 Error: 0.84140 Loss: 1.00001 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.25s\n",
            "340480 Examples seen. Accuracy: 0.6818 Error: 0.94872 Loss: 1.09921 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "341120 Examples seen. Accuracy: 0.6773 Error: 0.84342 Loss: 0.84416 Threads: 2 Forward time: 0.65s Backward time: 0.42s Step time: 2.24s\n",
            "341760 Examples seen. Accuracy: 0.6745 Error: 0.89283 Loss: 0.92712 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.32s\n",
            "342400 Examples seen. Accuracy: 0.6721 Error: 0.90393 Loss: 0.84787 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "343040 Examples seen. Accuracy: 0.6718 Error: 0.81913 Loss: 0.84188 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.23s\n",
            "343680 Examples seen. Accuracy: 0.6717 Error: 0.78402 Loss: 0.90977 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.24s\n",
            "344320 Examples seen. Accuracy: 0.6725 Error: 0.90614 Loss: 0.91631 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.24s\n",
            "344960 Examples seen. Accuracy: 0.6743 Error: 0.69912 Loss: 0.66666 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.24s\n",
            "345600 Examples seen. Accuracy: 0.6750 Error: 0.74682 Loss: 0.75126 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.24s\n",
            "346240 Examples seen. Accuracy: 0.6769 Error: 0.85479 Loss: 0.94110 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.27s\n",
            "346880 Examples seen. Accuracy: 0.6768 Error: 0.74779 Loss: 0.74923 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.29s\n",
            "347520 Examples seen. Accuracy: 0.6806 Error: 0.72227 Loss: 0.74978 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.29s\n",
            "348160 Examples seen. Accuracy: 0.6817 Error: 0.72984 Loss: 0.80529 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.24s\n",
            "348800 Examples seen. Accuracy: 0.6797 Error: 0.99660 Loss: 1.03470 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "349440 Examples seen. Accuracy: 0.6812 Error: 0.70780 Loss: 0.69271 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.25s\n",
            "350080 Examples seen. Accuracy: 0.6846 Error: 0.85745 Loss: 1.07135 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.24s\n",
            "350720 Examples seen. Accuracy: 0.6839 Error: 0.79216 Loss: 0.85529 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.25s\n",
            "351360 Examples seen. Accuracy: 0.6832 Error: 0.90750 Loss: 0.93023 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.27s\n",
            "352000 Examples seen. Accuracy: 0.6845 Error: 0.87822 Loss: 0.98398 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.23s\n",
            "352640 Examples seen. Accuracy: 0.6866 Error: 0.75723 Loss: 0.90549 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.23s\n",
            "353280 Examples seen. Accuracy: 0.6860 Error: 0.91905 Loss: 0.96732 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.24s\n",
            "353920 Examples seen. Accuracy: 0.6878 Error: 0.75457 Loss: 0.75893 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "354560 Examples seen. Accuracy: 0.6896 Error: 0.89470 Loss: 0.99602 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.27s\n",
            "355200 Examples seen. Accuracy: 0.6871 Error: 0.83453 Loss: 0.77940 Threads: 2 Forward time: 0.65s Backward time: 0.40s Step time: 2.23s\n",
            "355840 Examples seen. Accuracy: 0.6843 Error: 0.75824 Loss: 0.65149 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.25s\n",
            "356480 Examples seen. Accuracy: 0.6833 Error: 0.79836 Loss: 0.81279 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.24s\n",
            "357120 Examples seen. Accuracy: 0.6859 Error: 0.79211 Loss: 0.92599 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.26s\n",
            "357760 Examples seen. Accuracy: 0.6888 Error: 0.93717 Loss: 1.04447 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.26s\n",
            "358400 Examples seen. Accuracy: 0.6894 Error: 0.73993 Loss: 0.80377 Threads: 2 Forward time: 0.66s Backward time: 0.44s Step time: 2.31s\n",
            "359040 Examples seen. Accuracy: 0.6881 Error: 0.91732 Loss: 1.03610 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.28s\n",
            "359680 Examples seen. Accuracy: 0.6873 Error: 0.82041 Loss: 0.84118 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.26s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 9 Examples seen:360000 Validation Accuracy: 0.7005 Validation Error: 0.9130 Validation Loss: 0.8731 Total time: 31.49min\n",
            "Epoch time: 2.3542 minutes. 50 epochs: 1.9618 hours.\n",
            "Epochs: 9. Working time: 0.52 hours.\n",
            "360640 Examples seen. Accuracy: 0.6870 Error: 0.99102 Loss: 1.13030 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.32s\n",
            "361280 Examples seen. Accuracy: 0.6879 Error: 0.98226 Loss: 1.10132 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.28s\n",
            "361920 Examples seen. Accuracy: 0.6861 Error: 0.81048 Loss: 0.78015 Threads: 2 Forward time: 0.72s Backward time: 0.42s Step time: 2.31s\n",
            "362560 Examples seen. Accuracy: 0.6853 Error: 0.82575 Loss: 0.85574 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.29s\n",
            "363200 Examples seen. Accuracy: 0.6874 Error: 0.82046 Loss: 0.92182 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.29s\n",
            "363840 Examples seen. Accuracy: 0.6900 Error: 0.72060 Loss: 0.67072 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.29s\n",
            "364480 Examples seen. Accuracy: 0.6878 Error: 0.90538 Loss: 0.99555 Threads: 2 Forward time: 0.69s Backward time: 0.45s Step time: 2.31s\n",
            "365120 Examples seen. Accuracy: 0.6880 Error: 0.75652 Loss: 0.82947 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.29s\n",
            "365760 Examples seen. Accuracy: 0.6917 Error: 0.87550 Loss: 1.02521 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.29s\n",
            "366400 Examples seen. Accuracy: 0.6939 Error: 0.98520 Loss: 0.97981 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.29s\n",
            "367040 Examples seen. Accuracy: 0.6948 Error: 0.83249 Loss: 0.84764 Threads: 2 Forward time: 0.71s Backward time: 0.46s Step time: 2.31s\n",
            "367680 Examples seen. Accuracy: 0.6947 Error: 0.87921 Loss: 0.98406 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.29s\n",
            "368320 Examples seen. Accuracy: 0.6986 Error: 0.81887 Loss: 0.91101 Threads: 2 Forward time: 0.66s Backward time: 0.45s Step time: 2.31s\n",
            "368960 Examples seen. Accuracy: 0.6977 Error: 0.73057 Loss: 0.74258 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.28s\n",
            "369600 Examples seen. Accuracy: 0.6968 Error: 0.77150 Loss: 0.79038 Threads: 2 Forward time: 0.69s Backward time: 0.45s Step time: 2.30s\n",
            "370240 Examples seen. Accuracy: 0.6972 Error: 0.91387 Loss: 0.93440 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.31s\n",
            "370880 Examples seen. Accuracy: 0.6979 Error: 0.69506 Loss: 0.75387 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.35s\n",
            "371520 Examples seen. Accuracy: 0.6938 Error: 0.82977 Loss: 0.82222 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.27s\n",
            "372160 Examples seen. Accuracy: 0.6922 Error: 0.74130 Loss: 0.63260 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.27s\n",
            "372800 Examples seen. Accuracy: 0.6919 Error: 0.61393 Loss: 0.54026 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.26s\n",
            "373440 Examples seen. Accuracy: 0.6929 Error: 0.82919 Loss: 0.84779 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.26s\n",
            "374080 Examples seen. Accuracy: 0.6925 Error: 0.77389 Loss: 0.90815 Threads: 2 Forward time: 0.71s Backward time: 0.47s Step time: 2.36s\n",
            "374720 Examples seen. Accuracy: 0.6948 Error: 0.76773 Loss: 0.75683 Threads: 2 Forward time: 0.72s Backward time: 0.46s Step time: 2.40s\n",
            "375360 Examples seen. Accuracy: 0.6925 Error: 0.92700 Loss: 0.93701 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.34s\n",
            "376000 Examples seen. Accuracy: 0.6938 Error: 0.64868 Loss: 0.58159 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.33s\n",
            "376640 Examples seen. Accuracy: 0.6944 Error: 0.76134 Loss: 0.77990 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.30s\n",
            "377280 Examples seen. Accuracy: 0.6940 Error: 0.90245 Loss: 1.03077 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.31s\n",
            "377920 Examples seen. Accuracy: 0.6931 Error: 0.92095 Loss: 1.01853 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.31s\n",
            "378560 Examples seen. Accuracy: 0.6948 Error: 0.76422 Loss: 0.81965 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.29s\n",
            "379200 Examples seen. Accuracy: 0.6941 Error: 0.84171 Loss: 0.84435 Threads: 2 Forward time: 0.73s Backward time: 0.43s Step time: 2.31s\n",
            "379840 Examples seen. Accuracy: 0.6933 Error: 0.83652 Loss: 0.84591 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.31s\n",
            "380480 Examples seen. Accuracy: 0.6922 Error: 0.86241 Loss: 0.93829 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.28s\n",
            "381120 Examples seen. Accuracy: 0.6919 Error: 0.84401 Loss: 0.83420 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.30s\n",
            "381760 Examples seen. Accuracy: 0.6923 Error: 0.87555 Loss: 0.96276 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.29s\n",
            "382400 Examples seen. Accuracy: 0.6915 Error: 0.82004 Loss: 0.84103 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.27s\n",
            "383040 Examples seen. Accuracy: 0.6932 Error: 0.76874 Loss: 0.81044 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.28s\n",
            "383680 Examples seen. Accuracy: 0.6942 Error: 0.80235 Loss: 0.84572 Threads: 2 Forward time: 0.66s Backward time: 0.45s Step time: 2.32s\n",
            "384320 Examples seen. Accuracy: 0.6967 Error: 0.75182 Loss: 0.83043 Threads: 2 Forward time: 0.70s Backward time: 0.46s Step time: 2.30s\n",
            "384960 Examples seen. Accuracy: 0.6957 Error: 0.87272 Loss: 1.08511 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.31s\n",
            "385600 Examples seen. Accuracy: 0.6940 Error: 0.88422 Loss: 0.95285 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "386240 Examples seen. Accuracy: 0.6937 Error: 0.78533 Loss: 0.90082 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.27s\n",
            "386880 Examples seen. Accuracy: 0.6957 Error: 0.83891 Loss: 0.91819 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.28s\n",
            "387520 Examples seen. Accuracy: 0.6966 Error: 0.80963 Loss: 0.82660 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.29s\n",
            "388160 Examples seen. Accuracy: 0.6980 Error: 0.70199 Loss: 0.66609 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.28s\n",
            "388800 Examples seen. Accuracy: 0.6981 Error: 0.71472 Loss: 0.78854 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.31s\n",
            "389440 Examples seen. Accuracy: 0.6977 Error: 0.76907 Loss: 0.79745 Threads: 2 Forward time: 0.70s Backward time: 0.44s Step time: 2.34s\n",
            "390080 Examples seen. Accuracy: 0.6988 Error: 0.97835 Loss: 0.93827 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.29s\n",
            "390720 Examples seen. Accuracy: 0.6979 Error: 0.81469 Loss: 0.84105 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.27s\n",
            "391360 Examples seen. Accuracy: 0.6984 Error: 0.80755 Loss: 0.79055 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.32s\n",
            "392000 Examples seen. Accuracy: 0.6970 Error: 0.72795 Loss: 0.81478 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.26s\n",
            "392640 Examples seen. Accuracy: 0.6965 Error: 0.86454 Loss: 0.92939 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.25s\n",
            "393280 Examples seen. Accuracy: 0.6944 Error: 0.87080 Loss: 1.07583 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "393920 Examples seen. Accuracy: 0.6955 Error: 0.66071 Loss: 0.66657 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.24s\n",
            "394560 Examples seen. Accuracy: 0.6972 Error: 0.74985 Loss: 0.83199 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.24s\n",
            "395200 Examples seen. Accuracy: 0.6959 Error: 0.81379 Loss: 0.86817 Threads: 2 Forward time: 0.70s Backward time: 0.47s Step time: 2.31s\n",
            "395840 Examples seen. Accuracy: 0.6987 Error: 0.66327 Loss: 0.64872 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.27s\n",
            "396480 Examples seen. Accuracy: 0.6970 Error: 0.79263 Loss: 0.83147 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.30s\n",
            "397120 Examples seen. Accuracy: 0.6972 Error: 0.85795 Loss: 0.87358 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.23s\n",
            "397760 Examples seen. Accuracy: 0.6999 Error: 0.77065 Loss: 0.75524 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.26s\n",
            "398400 Examples seen. Accuracy: 0.6987 Error: 0.69937 Loss: 0.74557 Threads: 2 Forward time: 0.65s Backward time: 0.41s Step time: 2.24s\n",
            "399040 Examples seen. Accuracy: 0.6975 Error: 0.85826 Loss: 0.92526 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.29s\n",
            "399680 Examples seen. Accuracy: 0.6950 Error: 0.85978 Loss: 0.99050 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.26s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 10 Examples seen:400000 Validation Accuracy: 0.7264 Validation Error: 0.8392 Validation Loss: 0.8016 Total time: 34.92min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.307 Min Weight:  -0.349 Max Output:  3.490 Min Output: -4.198 TNNetConvolutionLinear 32,32,64 Times: 30.11s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  3.490 Min Output: -0.836 TNNetMaxPool 8,8,64 Times: 6.86s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.706 Min Weight:   0.659 Max Output:  4.007 Min Output: -2.116 TNNetMovingStdNormalization 8,8,64 Times: 0.15s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.150 Min Weight:  -0.160 Max Output:  6.938 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.14s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.162 Min Weight:  -0.144 Max Output:  4.198 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.00s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.159 Min Weight:  -0.147 Max Output:  2.281 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 5.99s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.169 Min Weight:  -0.134 Max Output:  1.555 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.12s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  1.555 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.03s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  1.555 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.44s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.232 Min Weight:  -0.196 Max Output:  2.282 Min Output: -4.570 TNNetFullConnectLinear 10,1,1 Times: 0.08s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.297 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Starting Testing.\n",
            "Epochs: 10 Examples seen:400000 Test Accuracy: 0.7196 Test Error: 0.8487 Test Loss: 0.8175 Total time: 35.96min\n",
            "Epoch time: 2.3594 minutes. 50 epochs: 1.9661 hours.\n",
            "Epochs: 10. Working time: 0.60 hours.\n",
            "Learning rate set to: 0.00090\n",
            "400640 Examples seen. Accuracy: 0.6944 Error: 0.79827 Loss: 0.88313 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.25s\n",
            "401280 Examples seen. Accuracy: 0.6946 Error: 0.96281 Loss: 1.07937 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.26s\n",
            "401920 Examples seen. Accuracy: 0.6956 Error: 0.71811 Loss: 0.77069 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.25s\n",
            "402560 Examples seen. Accuracy: 0.6964 Error: 0.83718 Loss: 0.84177 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.27s\n",
            "403200 Examples seen. Accuracy: 0.6996 Error: 0.56462 Loss: 0.53864 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.27s\n",
            "403840 Examples seen. Accuracy: 0.6994 Error: 0.83586 Loss: 0.90140 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.25s\n",
            "404480 Examples seen. Accuracy: 0.6980 Error: 0.78890 Loss: 0.89494 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "405120 Examples seen. Accuracy: 0.6971 Error: 0.75002 Loss: 0.78461 Threads: 2 Forward time: 0.73s Backward time: 0.42s Step time: 2.27s\n",
            "405760 Examples seen. Accuracy: 0.6962 Error: 0.79677 Loss: 0.79444 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.27s\n",
            "406400 Examples seen. Accuracy: 0.6990 Error: 0.83953 Loss: 0.86807 Threads: 2 Forward time: 0.65s Backward time: 0.43s Step time: 2.26s\n",
            "407040 Examples seen. Accuracy: 0.6980 Error: 0.78360 Loss: 0.76686 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "407680 Examples seen. Accuracy: 0.7035 Error: 0.57692 Loss: 0.54299 Threads: 2 Forward time: 0.65s Backward time: 0.41s Step time: 2.25s\n",
            "408320 Examples seen. Accuracy: 0.7040 Error: 0.87694 Loss: 1.10601 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.25s\n",
            "408960 Examples seen. Accuracy: 0.7013 Error: 0.78070 Loss: 0.89345 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.24s\n",
            "409600 Examples seen. Accuracy: 0.7008 Error: 0.84706 Loss: 0.95418 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.24s\n",
            "410240 Examples seen. Accuracy: 0.7025 Error: 0.88677 Loss: 0.96750 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.23s\n",
            "410880 Examples seen. Accuracy: 0.7013 Error: 0.82835 Loss: 1.09910 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "411520 Examples seen. Accuracy: 0.7004 Error: 0.79865 Loss: 0.83026 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.25s\n",
            "412160 Examples seen. Accuracy: 0.7011 Error: 0.82756 Loss: 0.83940 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.24s\n",
            "412800 Examples seen. Accuracy: 0.7013 Error: 0.66509 Loss: 0.71769 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.24s\n",
            "413440 Examples seen. Accuracy: 0.7007 Error: 0.84655 Loss: 0.93009 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.31s\n",
            "414080 Examples seen. Accuracy: 0.7012 Error: 0.88743 Loss: 0.96724 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.29s\n",
            "414720 Examples seen. Accuracy: 0.7030 Error: 0.88924 Loss: 1.10586 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.27s\n",
            "415360 Examples seen. Accuracy: 0.7045 Error: 0.76330 Loss: 0.69952 Threads: 2 Forward time: 0.65s Backward time: 0.40s Step time: 2.24s\n",
            "416000 Examples seen. Accuracy: 0.7021 Error: 0.84887 Loss: 0.91870 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.24s\n",
            "416640 Examples seen. Accuracy: 0.7033 Error: 0.78722 Loss: 0.81782 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.25s\n",
            "417280 Examples seen. Accuracy: 0.7044 Error: 0.74771 Loss: 0.87205 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.25s\n",
            "417920 Examples seen. Accuracy: 0.7026 Error: 0.90083 Loss: 0.91435 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "418560 Examples seen. Accuracy: 0.7016 Error: 0.85048 Loss: 0.92828 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.25s\n",
            "419200 Examples seen. Accuracy: 0.7026 Error: 0.76385 Loss: 0.77123 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.28s\n",
            "419840 Examples seen. Accuracy: 0.7051 Error: 0.72022 Loss: 0.73595 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.28s\n",
            "420480 Examples seen. Accuracy: 0.7050 Error: 0.70890 Loss: 0.72313 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.30s\n",
            "421120 Examples seen. Accuracy: 0.7060 Error: 0.77504 Loss: 0.85528 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.28s\n",
            "421760 Examples seen. Accuracy: 0.7046 Error: 0.67149 Loss: 0.80695 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.25s\n",
            "422400 Examples seen. Accuracy: 0.7044 Error: 0.81298 Loss: 0.79828 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.25s\n",
            "423040 Examples seen. Accuracy: 0.7105 Error: 0.61800 Loss: 0.61740 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.26s\n",
            "423680 Examples seen. Accuracy: 0.7128 Error: 0.66715 Loss: 0.75963 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.34s\n",
            "424320 Examples seen. Accuracy: 0.7139 Error: 0.82122 Loss: 0.95315 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.34s\n",
            "424960 Examples seen. Accuracy: 0.7130 Error: 0.78074 Loss: 0.86985 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.30s\n",
            "425600 Examples seen. Accuracy: 0.7158 Error: 0.78785 Loss: 0.77041 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.27s\n",
            "426240 Examples seen. Accuracy: 0.7149 Error: 0.88856 Loss: 0.92326 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.26s\n",
            "426880 Examples seen. Accuracy: 0.7123 Error: 0.74013 Loss: 0.73850 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "427520 Examples seen. Accuracy: 0.7164 Error: 0.67271 Loss: 0.65382 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.25s\n",
            "428160 Examples seen. Accuracy: 0.7174 Error: 0.84550 Loss: 0.80292 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.25s\n",
            "428800 Examples seen. Accuracy: 0.7183 Error: 0.89275 Loss: 0.98121 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.27s\n",
            "429440 Examples seen. Accuracy: 0.7163 Error: 0.90404 Loss: 0.97022 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.29s\n",
            "430080 Examples seen. Accuracy: 0.7144 Error: 0.79728 Loss: 0.86836 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.30s\n",
            "430720 Examples seen. Accuracy: 0.7118 Error: 0.75183 Loss: 0.75944 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.28s\n",
            "431360 Examples seen. Accuracy: 0.7122 Error: 0.78443 Loss: 0.72462 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.25s\n",
            "432000 Examples seen. Accuracy: 0.7138 Error: 0.79717 Loss: 0.77412 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "432640 Examples seen. Accuracy: 0.7118 Error: 0.74848 Loss: 0.84423 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.24s\n",
            "433280 Examples seen. Accuracy: 0.7093 Error: 0.78267 Loss: 0.75609 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "433920 Examples seen. Accuracy: 0.7094 Error: 0.67661 Loss: 0.68525 Threads: 2 Forward time: 0.66s Backward time: 0.44s Step time: 2.26s\n",
            "434560 Examples seen. Accuracy: 0.7062 Error: 0.81234 Loss: 0.83494 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.31s\n",
            "435200 Examples seen. Accuracy: 0.7068 Error: 0.75373 Loss: 0.80960 Threads: 2 Forward time: 0.65s Backward time: 0.43s Step time: 2.27s\n",
            "435840 Examples seen. Accuracy: 0.7102 Error: 0.81008 Loss: 0.83170 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.23s\n",
            "436480 Examples seen. Accuracy: 0.7063 Error: 1.02774 Loss: 1.30178 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.23s\n",
            "437120 Examples seen. Accuracy: 0.7077 Error: 0.84527 Loss: 0.91554 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "437760 Examples seen. Accuracy: 0.7067 Error: 0.79582 Loss: 1.01987 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.22s\n",
            "438400 Examples seen. Accuracy: 0.7058 Error: 0.86893 Loss: 1.03800 Threads: 2 Forward time: 0.65s Backward time: 0.43s Step time: 2.22s\n",
            "439040 Examples seen. Accuracy: 0.7061 Error: 0.80982 Loss: 0.95561 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.22s\n",
            "439680 Examples seen. Accuracy: 0.7109 Error: 0.70675 Loss: 0.84404 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.25s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 11 Examples seen:440000 Validation Accuracy: 0.7459 Validation Error: 0.7620 Validation Loss: 0.7395 Total time: 39.36min\n",
            "Epoch time: 2.3490 minutes. 50 epochs: 1.9575 hours.\n",
            "Epochs: 11. Working time: 0.66 hours.\n",
            "440640 Examples seen. Accuracy: 0.7112 Error: 0.75090 Loss: 0.73681 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.31s\n",
            "441280 Examples seen. Accuracy: 0.7147 Error: 0.79958 Loss: 0.90243 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.25s\n",
            "441920 Examples seen. Accuracy: 0.7154 Error: 0.72568 Loss: 0.81930 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.24s\n",
            "442560 Examples seen. Accuracy: 0.7181 Error: 0.62918 Loss: 0.64142 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.25s\n",
            "443200 Examples seen. Accuracy: 0.7159 Error: 0.85248 Loss: 0.90539 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.25s\n",
            "443840 Examples seen. Accuracy: 0.7166 Error: 0.81171 Loss: 0.88727 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.25s\n",
            "444480 Examples seen. Accuracy: 0.7146 Error: 0.77190 Loss: 0.88780 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.27s\n",
            "445120 Examples seen. Accuracy: 0.7140 Error: 0.70516 Loss: 0.82153 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.26s\n",
            "445760 Examples seen. Accuracy: 0.7121 Error: 0.78639 Loss: 0.78645 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.26s\n",
            "446400 Examples seen. Accuracy: 0.7114 Error: 0.78763 Loss: 0.80618 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.25s\n",
            "447040 Examples seen. Accuracy: 0.7098 Error: 0.81796 Loss: 0.82348 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.32s\n",
            "447680 Examples seen. Accuracy: 0.7123 Error: 0.69137 Loss: 0.77521 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.27s\n",
            "448320 Examples seen. Accuracy: 0.7124 Error: 0.69026 Loss: 0.63380 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.27s\n",
            "448960 Examples seen. Accuracy: 0.7136 Error: 0.68528 Loss: 0.75157 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.24s\n",
            "449600 Examples seen. Accuracy: 0.7131 Error: 0.73661 Loss: 0.72990 Threads: 2 Forward time: 0.65s Backward time: 0.42s Step time: 2.24s\n",
            "450240 Examples seen. Accuracy: 0.7125 Error: 0.70364 Loss: 0.70550 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.25s\n",
            "450880 Examples seen. Accuracy: 0.7147 Error: 0.79971 Loss: 0.83212 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.24s\n",
            "451520 Examples seen. Accuracy: 0.7123 Error: 0.89665 Loss: 1.07015 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.27s\n",
            "452160 Examples seen. Accuracy: 0.7096 Error: 0.75705 Loss: 0.77934 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.25s\n",
            "452800 Examples seen. Accuracy: 0.7127 Error: 0.71722 Loss: 0.75133 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.29s\n",
            "453440 Examples seen. Accuracy: 0.7139 Error: 0.70605 Loss: 0.74962 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.30s\n",
            "454080 Examples seen. Accuracy: 0.7143 Error: 0.82519 Loss: 0.87374 Threads: 2 Forward time: 0.72s Backward time: 0.40s Step time: 2.28s\n",
            "454720 Examples seen. Accuracy: 0.7135 Error: 0.64336 Loss: 0.62676 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "455360 Examples seen. Accuracy: 0.7164 Error: 0.68913 Loss: 0.68072 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.24s\n",
            "456000 Examples seen. Accuracy: 0.7137 Error: 0.94645 Loss: 1.38585 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.26s\n",
            "456640 Examples seen. Accuracy: 0.7120 Error: 0.77201 Loss: 0.72073 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.24s\n",
            "457280 Examples seen. Accuracy: 0.7141 Error: 0.87116 Loss: 0.94200 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.27s\n",
            "457920 Examples seen. Accuracy: 0.7166 Error: 0.65593 Loss: 0.77803 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "458560 Examples seen. Accuracy: 0.7169 Error: 0.67448 Loss: 0.71479 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.27s\n",
            "459200 Examples seen. Accuracy: 0.7149 Error: 0.67725 Loss: 0.77081 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.26s\n",
            "459840 Examples seen. Accuracy: 0.7161 Error: 0.79945 Loss: 0.74566 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.24s\n",
            "460480 Examples seen. Accuracy: 0.7143 Error: 0.95533 Loss: 1.12959 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.24s\n",
            "461120 Examples seen. Accuracy: 0.7101 Error: 0.88571 Loss: 0.90288 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "461760 Examples seen. Accuracy: 0.7135 Error: 0.62519 Loss: 0.82394 Threads: 2 Forward time: 0.65s Backward time: 0.43s Step time: 2.24s\n",
            "462400 Examples seen. Accuracy: 0.7144 Error: 0.59951 Loss: 0.51216 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.26s\n",
            "463040 Examples seen. Accuracy: 0.7135 Error: 0.69531 Loss: 0.82922 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.27s\n",
            "463680 Examples seen. Accuracy: 0.7121 Error: 0.66156 Loss: 0.67263 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.24s\n",
            "464320 Examples seen. Accuracy: 0.7101 Error: 0.69165 Loss: 0.66978 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.30s\n",
            "464960 Examples seen. Accuracy: 0.7061 Error: 0.85761 Loss: 0.84206 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.27s\n",
            "465600 Examples seen. Accuracy: 0.7108 Error: 0.72666 Loss: 0.75573 Threads: 2 Forward time: 0.65s Backward time: 0.43s Step time: 2.27s\n",
            "466240 Examples seen. Accuracy: 0.7118 Error: 0.66336 Loss: 0.70712 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.25s\n",
            "466880 Examples seen. Accuracy: 0.7065 Error: 0.85893 Loss: 0.97865 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "467520 Examples seen. Accuracy: 0.7082 Error: 0.80851 Loss: 0.92579 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "468160 Examples seen. Accuracy: 0.7101 Error: 0.91147 Loss: 1.07881 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.22s\n",
            "468800 Examples seen. Accuracy: 0.7112 Error: 0.79746 Loss: 0.81371 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "469440 Examples seen. Accuracy: 0.7112 Error: 0.83633 Loss: 0.92174 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.25s\n",
            "470080 Examples seen. Accuracy: 0.7107 Error: 0.72029 Loss: 0.64677 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "470720 Examples seen. Accuracy: 0.7111 Error: 0.74078 Loss: 0.78597 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "471360 Examples seen. Accuracy: 0.7116 Error: 0.69620 Loss: 0.68358 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.23s\n",
            "472000 Examples seen. Accuracy: 0.7140 Error: 0.69758 Loss: 0.66707 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.23s\n",
            "472640 Examples seen. Accuracy: 0.7161 Error: 0.75355 Loss: 0.79558 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.24s\n",
            "473280 Examples seen. Accuracy: 0.7152 Error: 0.85246 Loss: 0.90928 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "473920 Examples seen. Accuracy: 0.7119 Error: 0.79664 Loss: 0.81882 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.22s\n",
            "474560 Examples seen. Accuracy: 0.7130 Error: 0.76626 Loss: 0.82618 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.31s\n",
            "475200 Examples seen. Accuracy: 0.7139 Error: 0.85440 Loss: 1.05641 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.23s\n",
            "475840 Examples seen. Accuracy: 0.7159 Error: 0.71368 Loss: 0.75263 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.22s\n",
            "476480 Examples seen. Accuracy: 0.7149 Error: 0.80042 Loss: 0.87887 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "477120 Examples seen. Accuracy: 0.7160 Error: 0.74688 Loss: 0.81990 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.22s\n",
            "477760 Examples seen. Accuracy: 0.7135 Error: 0.84378 Loss: 0.92690 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "478400 Examples seen. Accuracy: 0.7118 Error: 0.74229 Loss: 0.82712 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.21s\n",
            "479040 Examples seen. Accuracy: 0.7128 Error: 0.75876 Loss: 0.75832 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.22s\n",
            "479680 Examples seen. Accuracy: 0.7115 Error: 0.82783 Loss: 0.87476 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.22s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 12 Examples seen:480000 Validation Accuracy: 0.7610 Validation Error: 0.7096 Validation Loss: 0.6954 Total time: 42.74min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.326 Min Weight:  -0.396 Max Output:  3.709 Min Output: -4.359 TNNetConvolutionLinear 32,32,64 Times: 30.11s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  3.709 Min Output: -0.780 TNNetMaxPool 8,8,64 Times: 6.93s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.686 Min Weight:   0.670 Max Output:  4.509 Min Output: -2.187 TNNetMovingStdNormalization 8,8,64 Times: 0.16s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.171 Min Weight:  -0.184 Max Output:  8.144 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.04s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.186 Min Weight:  -0.165 Max Output:  5.154 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 5.94s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.189 Min Weight:  -0.170 Max Output:  2.682 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.08s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.184 Min Weight:  -0.151 Max Output:  1.856 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.00s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  1.856 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.02s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  1.856 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.42s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.252 Min Weight:  -0.215 Max Output:  2.958 Min Output: -5.466 TNNetFullConnectLinear 10,1,1 Times: 0.09s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.384 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Epoch time: 2.3146 minutes. 50 epochs: 1.9288 hours.\n",
            "Epochs: 12. Working time: 0.71 hours.\n",
            "480640 Examples seen. Accuracy: 0.7132 Error: 0.74584 Loss: 0.84714 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.24s\n",
            "481280 Examples seen. Accuracy: 0.7152 Error: 0.69531 Loss: 0.72907 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.22s\n",
            "481920 Examples seen. Accuracy: 0.7155 Error: 0.77983 Loss: 0.81069 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.23s\n",
            "482560 Examples seen. Accuracy: 0.7128 Error: 0.60650 Loss: 0.66012 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.29s\n",
            "483200 Examples seen. Accuracy: 0.7132 Error: 0.64428 Loss: 0.60381 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.26s\n",
            "483840 Examples seen. Accuracy: 0.7111 Error: 0.73992 Loss: 0.77452 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.28s\n",
            "484480 Examples seen. Accuracy: 0.7121 Error: 0.77070 Loss: 0.69173 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.26s\n",
            "485120 Examples seen. Accuracy: 0.7148 Error: 0.75463 Loss: 0.69089 Threads: 2 Forward time: 0.66s Backward time: 0.44s Step time: 2.23s\n",
            "485760 Examples seen. Accuracy: 0.7156 Error: 0.85348 Loss: 0.97100 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.24s\n",
            "486400 Examples seen. Accuracy: 0.7125 Error: 0.71897 Loss: 0.69074 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.23s\n",
            "487040 Examples seen. Accuracy: 0.7134 Error: 0.76211 Loss: 0.74753 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "487680 Examples seen. Accuracy: 0.7167 Error: 0.53856 Loss: 0.67373 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.23s\n",
            "488320 Examples seen. Accuracy: 0.7150 Error: 0.68174 Loss: 0.77533 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.28s\n",
            "488960 Examples seen. Accuracy: 0.7163 Error: 0.80288 Loss: 0.83149 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.22s\n",
            "489600 Examples seen. Accuracy: 0.7163 Error: 0.82511 Loss: 0.96139 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.25s\n",
            "490240 Examples seen. Accuracy: 0.7171 Error: 0.76451 Loss: 0.78677 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.24s\n",
            "490880 Examples seen. Accuracy: 0.7198 Error: 0.59256 Loss: 0.56093 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.27s\n",
            "491520 Examples seen. Accuracy: 0.7202 Error: 0.57008 Loss: 0.58644 Threads: 2 Forward time: 0.73s Backward time: 0.42s Step time: 2.34s\n",
            "492160 Examples seen. Accuracy: 0.7180 Error: 0.84067 Loss: 0.86652 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.33s\n",
            "492800 Examples seen. Accuracy: 0.7159 Error: 0.77086 Loss: 0.72474 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.28s\n",
            "493440 Examples seen. Accuracy: 0.7180 Error: 0.60613 Loss: 0.72534 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.32s\n",
            "494080 Examples seen. Accuracy: 0.7195 Error: 0.75677 Loss: 0.72396 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.26s\n",
            "494720 Examples seen. Accuracy: 0.7211 Error: 0.65503 Loss: 0.71134 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.25s\n",
            "495360 Examples seen. Accuracy: 0.7202 Error: 0.65776 Loss: 0.67718 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.25s\n",
            "496000 Examples seen. Accuracy: 0.7174 Error: 0.94382 Loss: 1.02258 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.24s\n",
            "496640 Examples seen. Accuracy: 0.7176 Error: 0.63724 Loss: 0.63861 Threads: 2 Forward time: 0.70s Backward time: 0.44s Step time: 2.32s\n",
            "497280 Examples seen. Accuracy: 0.7185 Error: 0.65614 Loss: 0.63748 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.25s\n",
            "497920 Examples seen. Accuracy: 0.7169 Error: 0.77385 Loss: 0.78622 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.24s\n",
            "498560 Examples seen. Accuracy: 0.7177 Error: 0.94953 Loss: 1.06829 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "499200 Examples seen. Accuracy: 0.7165 Error: 0.71451 Loss: 0.76900 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "499840 Examples seen. Accuracy: 0.7129 Error: 0.94714 Loss: 1.04725 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.25s\n",
            "500480 Examples seen. Accuracy: 0.7138 Error: 0.78324 Loss: 0.95934 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.26s\n",
            "501120 Examples seen. Accuracy: 0.7170 Error: 0.72326 Loss: 0.69125 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.30s\n",
            "501760 Examples seen. Accuracy: 0.7181 Error: 0.79261 Loss: 0.90189 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.24s\n",
            "502400 Examples seen. Accuracy: 0.7169 Error: 0.84751 Loss: 0.84283 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "503040 Examples seen. Accuracy: 0.7142 Error: 0.70957 Loss: 0.70398 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.24s\n",
            "503680 Examples seen. Accuracy: 0.7165 Error: 0.75362 Loss: 0.79541 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.29s\n",
            "504320 Examples seen. Accuracy: 0.7217 Error: 0.65437 Loss: 0.55792 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.27s\n",
            "504960 Examples seen. Accuracy: 0.7259 Error: 0.62734 Loss: 0.63808 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "505600 Examples seen. Accuracy: 0.7281 Error: 0.77873 Loss: 0.90384 Threads: 2 Forward time: 0.73s Backward time: 0.42s Step time: 2.29s\n",
            "506240 Examples seen. Accuracy: 0.7282 Error: 0.66170 Loss: 0.63120 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.30s\n",
            "506880 Examples seen. Accuracy: 0.7292 Error: 0.58860 Loss: 0.59531 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.27s\n",
            "507520 Examples seen. Accuracy: 0.7260 Error: 0.87351 Loss: 1.00996 Threads: 2 Forward time: 0.65s Backward time: 0.41s Step time: 2.24s\n",
            "508160 Examples seen. Accuracy: 0.7263 Error: 0.71529 Loss: 0.70644 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "508800 Examples seen. Accuracy: 0.7249 Error: 0.71136 Loss: 0.80688 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "509440 Examples seen. Accuracy: 0.7257 Error: 0.75468 Loss: 0.82708 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.25s\n",
            "510080 Examples seen. Accuracy: 0.7266 Error: 0.73600 Loss: 0.82209 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.23s\n",
            "510720 Examples seen. Accuracy: 0.7267 Error: 0.64450 Loss: 0.60830 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "511360 Examples seen. Accuracy: 0.7283 Error: 0.65405 Loss: 0.61811 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.25s\n",
            "512000 Examples seen. Accuracy: 0.7270 Error: 0.45728 Loss: 0.43486 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.25s\n",
            "512640 Examples seen. Accuracy: 0.7258 Error: 0.78040 Loss: 0.84160 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.25s\n",
            "513280 Examples seen. Accuracy: 0.7254 Error: 0.72081 Loss: 0.65352 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "513920 Examples seen. Accuracy: 0.7248 Error: 0.63449 Loss: 0.59896 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.25s\n",
            "514560 Examples seen. Accuracy: 0.7228 Error: 0.61914 Loss: 0.57322 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.26s\n",
            "515200 Examples seen. Accuracy: 0.7226 Error: 0.63302 Loss: 0.65841 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.26s\n",
            "515840 Examples seen. Accuracy: 0.7226 Error: 0.60485 Loss: 0.66033 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.31s\n",
            "516480 Examples seen. Accuracy: 0.7242 Error: 0.78215 Loss: 0.91657 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.25s\n",
            "517120 Examples seen. Accuracy: 0.7205 Error: 0.73882 Loss: 0.84812 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.23s\n",
            "517760 Examples seen. Accuracy: 0.7216 Error: 0.85210 Loss: 0.94369 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.23s\n",
            "518400 Examples seen. Accuracy: 0.7223 Error: 0.69614 Loss: 0.67126 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.23s\n",
            "519040 Examples seen. Accuracy: 0.7207 Error: 0.81899 Loss: 0.83598 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.23s\n",
            "519680 Examples seen. Accuracy: 0.7223 Error: 0.66769 Loss: 0.63915 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 13 Examples seen:520000 Validation Accuracy: 0.7688 Validation Error: 0.6684 Validation Loss: 0.6639 Total time: 46.13min\n",
            "Epoch time: 2.3344 minutes. 50 epochs: 1.9453 hours.\n",
            "Epochs: 13. Working time: 0.77 hours.\n",
            "520640 Examples seen. Accuracy: 0.7212 Error: 0.76382 Loss: 0.80789 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.24s\n",
            "521280 Examples seen. Accuracy: 0.7223 Error: 0.72920 Loss: 0.82963 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.21s\n",
            "521920 Examples seen. Accuracy: 0.7199 Error: 0.80229 Loss: 0.81868 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.21s\n",
            "522560 Examples seen. Accuracy: 0.7204 Error: 0.86225 Loss: 0.89131 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.21s\n",
            "523200 Examples seen. Accuracy: 0.7233 Error: 0.59301 Loss: 0.60349 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.23s\n",
            "523840 Examples seen. Accuracy: 0.7214 Error: 0.66773 Loss: 0.80849 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.21s\n",
            "524480 Examples seen. Accuracy: 0.7198 Error: 0.96479 Loss: 1.00542 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.22s\n",
            "525120 Examples seen. Accuracy: 0.7226 Error: 0.67815 Loss: 0.83707 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.20s\n",
            "525760 Examples seen. Accuracy: 0.7245 Error: 0.69012 Loss: 0.68533 Threads: 2 Forward time: 0.65s Backward time: 0.44s Step time: 2.28s\n",
            "526400 Examples seen. Accuracy: 0.7256 Error: 0.68813 Loss: 0.77270 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.26s\n",
            "527040 Examples seen. Accuracy: 0.7259 Error: 0.50937 Loss: 0.43279 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.26s\n",
            "527680 Examples seen. Accuracy: 0.7229 Error: 0.63795 Loss: 0.60759 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.24s\n",
            "528320 Examples seen. Accuracy: 0.7234 Error: 0.52090 Loss: 0.50386 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.22s\n",
            "528960 Examples seen. Accuracy: 0.7238 Error: 0.81742 Loss: 0.77372 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "529600 Examples seen. Accuracy: 0.7213 Error: 0.87822 Loss: 0.85913 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "530240 Examples seen. Accuracy: 0.7218 Error: 0.76327 Loss: 0.75705 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.21s\n",
            "530880 Examples seen. Accuracy: 0.7215 Error: 0.82403 Loss: 0.81884 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "531520 Examples seen. Accuracy: 0.7233 Error: 0.83089 Loss: 0.92845 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.23s\n",
            "532160 Examples seen. Accuracy: 0.7231 Error: 0.83531 Loss: 0.83064 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "532800 Examples seen. Accuracy: 0.7237 Error: 0.76910 Loss: 0.82441 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.22s\n",
            "533440 Examples seen. Accuracy: 0.7273 Error: 0.61633 Loss: 0.60771 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.24s\n",
            "534080 Examples seen. Accuracy: 0.7250 Error: 0.78924 Loss: 0.94726 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.23s\n",
            "534720 Examples seen. Accuracy: 0.7228 Error: 0.77237 Loss: 0.83175 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.24s\n",
            "535360 Examples seen. Accuracy: 0.7199 Error: 0.79900 Loss: 0.92404 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.21s\n",
            "536000 Examples seen. Accuracy: 0.7219 Error: 0.82467 Loss: 0.88878 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.22s\n",
            "536640 Examples seen. Accuracy: 0.7211 Error: 0.75859 Loss: 0.95874 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.21s\n",
            "537280 Examples seen. Accuracy: 0.7239 Error: 0.64664 Loss: 0.75680 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.19s\n",
            "537920 Examples seen. Accuracy: 0.7244 Error: 0.75934 Loss: 0.81481 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.22s\n",
            "538560 Examples seen. Accuracy: 0.7244 Error: 0.86391 Loss: 0.86154 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.22s\n",
            "539200 Examples seen. Accuracy: 0.7252 Error: 0.67938 Loss: 0.70893 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "539840 Examples seen. Accuracy: 0.7273 Error: 0.62804 Loss: 0.62618 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.21s\n",
            "540480 Examples seen. Accuracy: 0.7246 Error: 0.89304 Loss: 0.96264 Threads: 2 Forward time: 0.67s Backward time: 0.45s Step time: 2.31s\n",
            "541120 Examples seen. Accuracy: 0.7248 Error: 0.95614 Loss: 1.10903 Threads: 2 Forward time: 0.70s Backward time: 0.44s Step time: 2.35s\n",
            "541760 Examples seen. Accuracy: 0.7293 Error: 0.54207 Loss: 0.48875 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.27s\n",
            "542400 Examples seen. Accuracy: 0.7292 Error: 0.73790 Loss: 0.70872 Threads: 2 Forward time: 0.65s Backward time: 0.42s Step time: 2.23s\n",
            "543040 Examples seen. Accuracy: 0.7286 Error: 0.83263 Loss: 0.94727 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.26s\n",
            "543680 Examples seen. Accuracy: 0.7283 Error: 0.66514 Loss: 0.61452 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.23s\n",
            "544320 Examples seen. Accuracy: 0.7273 Error: 0.65210 Loss: 0.63786 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.23s\n",
            "544960 Examples seen. Accuracy: 0.7270 Error: 0.95984 Loss: 1.06722 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.27s\n",
            "545600 Examples seen. Accuracy: 0.7275 Error: 0.65816 Loss: 0.61876 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.33s\n",
            "546240 Examples seen. Accuracy: 0.7269 Error: 0.72152 Loss: 0.73718 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.28s\n",
            "546880 Examples seen. Accuracy: 0.7247 Error: 0.64205 Loss: 0.63491 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.30s\n",
            "547520 Examples seen. Accuracy: 0.7224 Error: 0.85589 Loss: 1.13951 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "548160 Examples seen. Accuracy: 0.7230 Error: 0.69306 Loss: 0.71370 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "548800 Examples seen. Accuracy: 0.7254 Error: 0.78880 Loss: 0.93733 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "549440 Examples seen. Accuracy: 0.7248 Error: 0.79678 Loss: 0.97227 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.25s\n",
            "550080 Examples seen. Accuracy: 0.7241 Error: 0.64468 Loss: 0.63939 Threads: 2 Forward time: 0.70s Backward time: 0.44s Step time: 2.29s\n",
            "550720 Examples seen. Accuracy: 0.7250 Error: 0.66852 Loss: 0.69237 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "551360 Examples seen. Accuracy: 0.7238 Error: 0.57138 Loss: 0.68234 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.27s\n",
            "552000 Examples seen. Accuracy: 0.7244 Error: 0.70917 Loss: 0.89323 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.27s\n",
            "552640 Examples seen. Accuracy: 0.7247 Error: 0.67273 Loss: 0.59706 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.28s\n",
            "553280 Examples seen. Accuracy: 0.7234 Error: 0.79465 Loss: 0.82839 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.27s\n",
            "553920 Examples seen. Accuracy: 0.7273 Error: 0.71642 Loss: 0.73077 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.29s\n",
            "554560 Examples seen. Accuracy: 0.7284 Error: 0.71214 Loss: 0.77101 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.26s\n",
            "555200 Examples seen. Accuracy: 0.7297 Error: 0.60608 Loss: 0.56877 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.30s\n",
            "555840 Examples seen. Accuracy: 0.7279 Error: 0.79744 Loss: 0.95453 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "556480 Examples seen. Accuracy: 0.7289 Error: 0.95153 Loss: 1.01603 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.23s\n",
            "557120 Examples seen. Accuracy: 0.7272 Error: 0.86453 Loss: 0.96938 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.22s\n",
            "557760 Examples seen. Accuracy: 0.7276 Error: 0.82442 Loss: 0.89380 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "558400 Examples seen. Accuracy: 0.7266 Error: 0.61843 Loss: 0.57421 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.24s\n",
            "559040 Examples seen. Accuracy: 0.7282 Error: 0.72495 Loss: 0.84566 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.24s\n",
            "559680 Examples seen. Accuracy: 0.7292 Error: 0.75060 Loss: 0.83603 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 14 Examples seen:560000 Validation Accuracy: 0.7765 Validation Error: 0.6387 Validation Loss: 0.6414 Total time: 49.50min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.351 Min Weight:  -0.432 Max Output:  3.874 Min Output: -4.535 TNNetConvolutionLinear 32,32,64 Times: 30.17s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  3.874 Min Output: -0.801 TNNetMaxPool 8,8,64 Times: 6.85s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.710 Min Weight:   0.669 Max Output:  4.732 Min Output: -2.261 TNNetMovingStdNormalization 8,8,64 Times: 0.15s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.196 Min Weight:  -0.202 Max Output:  8.743 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.07s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.205 Min Weight:  -0.177 Max Output:  5.602 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.03s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.209 Min Weight:  -0.186 Max Output:  3.182 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.00s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.191 Min Weight:  -0.164 Max Output:  2.272 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.08s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  2.272 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.02s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  2.272 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.42s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.267 Min Weight:  -0.230 Max Output:  3.686 Min Output: -6.240 TNNetFullConnectLinear 10,1,1 Times: 0.09s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.471 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Epoch time: 2.3271 minutes. 50 epochs: 1.9392 hours.\n",
            "Epochs: 14. Working time: 0.83 hours.\n",
            "560640 Examples seen. Accuracy: 0.7306 Error: 0.80351 Loss: 0.87696 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.24s\n",
            "561280 Examples seen. Accuracy: 0.7304 Error: 0.64158 Loss: 0.59135 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.23s\n",
            "561920 Examples seen. Accuracy: 0.7278 Error: 0.88604 Loss: 0.91336 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.25s\n",
            "562560 Examples seen. Accuracy: 0.7257 Error: 0.59453 Loss: 0.59496 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.29s\n",
            "563200 Examples seen. Accuracy: 0.7234 Error: 0.78538 Loss: 1.03088 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.26s\n",
            "563840 Examples seen. Accuracy: 0.7228 Error: 0.80699 Loss: 1.04114 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "564480 Examples seen. Accuracy: 0.7247 Error: 0.80023 Loss: 0.80287 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.27s\n",
            "565120 Examples seen. Accuracy: 0.7246 Error: 0.69403 Loss: 0.69507 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "565760 Examples seen. Accuracy: 0.7251 Error: 0.59034 Loss: 0.64138 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.22s\n",
            "566400 Examples seen. Accuracy: 0.7241 Error: 0.69445 Loss: 0.68190 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "567040 Examples seen. Accuracy: 0.7246 Error: 0.52389 Loss: 0.52861 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.22s\n",
            "567680 Examples seen. Accuracy: 0.7247 Error: 0.66098 Loss: 0.72401 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.24s\n",
            "568320 Examples seen. Accuracy: 0.7244 Error: 0.69488 Loss: 0.61237 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.26s\n",
            "568960 Examples seen. Accuracy: 0.7249 Error: 0.77336 Loss: 0.85342 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.26s\n",
            "569600 Examples seen. Accuracy: 0.7238 Error: 0.88228 Loss: 1.22315 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.27s\n",
            "570240 Examples seen. Accuracy: 0.7264 Error: 0.68647 Loss: 0.66992 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.22s\n",
            "570880 Examples seen. Accuracy: 0.7285 Error: 0.61368 Loss: 0.58891 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.23s\n",
            "571520 Examples seen. Accuracy: 0.7297 Error: 0.73747 Loss: 0.74279 Threads: 2 Forward time: 0.65s Backward time: 0.41s Step time: 2.23s\n",
            "572160 Examples seen. Accuracy: 0.7280 Error: 0.77270 Loss: 0.86834 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.22s\n",
            "572800 Examples seen. Accuracy: 0.7264 Error: 0.86754 Loss: 0.98843 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "573440 Examples seen. Accuracy: 0.7277 Error: 0.86382 Loss: 0.91161 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.26s\n",
            "574080 Examples seen. Accuracy: 0.7273 Error: 0.82721 Loss: 0.98299 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.26s\n",
            "574720 Examples seen. Accuracy: 0.7259 Error: 0.63012 Loss: 0.67063 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.23s\n",
            "575360 Examples seen. Accuracy: 0.7240 Error: 0.85158 Loss: 0.90515 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.21s\n",
            "576000 Examples seen. Accuracy: 0.7233 Error: 0.83303 Loss: 0.85841 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.21s\n",
            "576640 Examples seen. Accuracy: 0.7258 Error: 0.87603 Loss: 1.08411 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.22s\n",
            "577280 Examples seen. Accuracy: 0.7252 Error: 0.64026 Loss: 0.64775 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "577920 Examples seen. Accuracy: 0.7278 Error: 0.64054 Loss: 0.61645 Threads: 2 Forward time: 0.72s Backward time: 0.40s Step time: 2.21s\n",
            "578560 Examples seen. Accuracy: 0.7333 Error: 0.68802 Loss: 0.70049 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.22s\n",
            "579200 Examples seen. Accuracy: 0.7323 Error: 0.73008 Loss: 0.69514 Threads: 2 Forward time: 0.65s Backward time: 0.41s Step time: 2.23s\n",
            "579840 Examples seen. Accuracy: 0.7328 Error: 0.70623 Loss: 0.80600 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "580480 Examples seen. Accuracy: 0.7313 Error: 0.76681 Loss: 0.98736 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.22s\n",
            "581120 Examples seen. Accuracy: 0.7316 Error: 0.66294 Loss: 0.64105 Threads: 2 Forward time: 0.70s Backward time: 0.38s Step time: 2.22s\n",
            "581760 Examples seen. Accuracy: 0.7331 Error: 0.59241 Loss: 0.63014 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.21s\n",
            "582400 Examples seen. Accuracy: 0.7327 Error: 0.69372 Loss: 0.67690 Threads: 2 Forward time: 0.65s Backward time: 0.40s Step time: 2.21s\n",
            "583040 Examples seen. Accuracy: 0.7316 Error: 0.87871 Loss: 0.94061 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.21s\n",
            "583680 Examples seen. Accuracy: 0.7322 Error: 0.67386 Loss: 0.69274 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.25s\n",
            "584320 Examples seen. Accuracy: 0.7317 Error: 0.68296 Loss: 0.66084 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.27s\n",
            "584960 Examples seen. Accuracy: 0.7303 Error: 0.77688 Loss: 0.84082 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.23s\n",
            "585600 Examples seen. Accuracy: 0.7300 Error: 0.80486 Loss: 0.80401 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.21s\n",
            "586240 Examples seen. Accuracy: 0.7299 Error: 0.58914 Loss: 0.58735 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.21s\n",
            "586880 Examples seen. Accuracy: 0.7306 Error: 0.74473 Loss: 0.68488 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.22s\n",
            "587520 Examples seen. Accuracy: 0.7289 Error: 0.71507 Loss: 0.91941 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "588160 Examples seen. Accuracy: 0.7287 Error: 0.82115 Loss: 0.86644 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.22s\n",
            "588800 Examples seen. Accuracy: 0.7308 Error: 0.63042 Loss: 0.61971 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.21s\n",
            "589440 Examples seen. Accuracy: 0.7299 Error: 0.82658 Loss: 0.99962 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.21s\n",
            "590080 Examples seen. Accuracy: 0.7264 Error: 0.70545 Loss: 0.74360 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.21s\n",
            "590720 Examples seen. Accuracy: 0.7289 Error: 0.67823 Loss: 0.59907 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.21s\n",
            "591360 Examples seen. Accuracy: 0.7278 Error: 0.86924 Loss: 0.91082 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "592000 Examples seen. Accuracy: 0.7291 Error: 0.70767 Loss: 0.79358 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.25s\n",
            "592640 Examples seen. Accuracy: 0.7309 Error: 0.55643 Loss: 0.54535 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.26s\n",
            "593280 Examples seen. Accuracy: 0.7294 Error: 0.84435 Loss: 0.91779 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.25s\n",
            "593920 Examples seen. Accuracy: 0.7291 Error: 0.80799 Loss: 0.81080 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "594560 Examples seen. Accuracy: 0.7303 Error: 0.83026 Loss: 0.82174 Threads: 2 Forward time: 0.65s Backward time: 0.42s Step time: 2.25s\n",
            "595200 Examples seen. Accuracy: 0.7307 Error: 0.88218 Loss: 1.01781 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.27s\n",
            "595840 Examples seen. Accuracy: 0.7326 Error: 0.63130 Loss: 0.79850 Threads: 2 Forward time: 0.65s Backward time: 0.42s Step time: 2.26s\n",
            "596480 Examples seen. Accuracy: 0.7312 Error: 0.85629 Loss: 0.84790 Threads: 2 Forward time: 0.65s Backward time: 0.41s Step time: 2.24s\n",
            "597120 Examples seen. Accuracy: 0.7323 Error: 0.60323 Loss: 0.59276 Threads: 2 Forward time: 0.74s Backward time: 0.40s Step time: 2.25s\n",
            "597760 Examples seen. Accuracy: 0.7303 Error: 0.71906 Loss: 0.91518 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.25s\n",
            "598400 Examples seen. Accuracy: 0.7298 Error: 0.63105 Loss: 0.56186 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.25s\n",
            "599040 Examples seen. Accuracy: 0.7280 Error: 0.81189 Loss: 1.02724 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.25s\n",
            "599680 Examples seen. Accuracy: 0.7262 Error: 0.76338 Loss: 0.71589 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 15 Examples seen:600000 Validation Accuracy: 0.7838 Validation Error: 0.6131 Validation Loss: 0.6218 Total time: 52.87min\n",
            "Epoch time: 2.3292 minutes. 50 epochs: 1.9410 hours.\n",
            "Epochs: 15. Working time: 0.88 hours.\n",
            "600640 Examples seen. Accuracy: 0.7284 Error: 0.81994 Loss: 0.85169 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.25s\n",
            "601280 Examples seen. Accuracy: 0.7295 Error: 0.63513 Loss: 0.69268 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "601920 Examples seen. Accuracy: 0.7287 Error: 0.75240 Loss: 0.78298 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.23s\n",
            "602560 Examples seen. Accuracy: 0.7309 Error: 0.64375 Loss: 0.63940 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "603200 Examples seen. Accuracy: 0.7339 Error: 0.68932 Loss: 0.71015 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.22s\n",
            "603840 Examples seen. Accuracy: 0.7345 Error: 0.60915 Loss: 0.62535 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.24s\n",
            "604480 Examples seen. Accuracy: 0.7343 Error: 0.74622 Loss: 0.79655 Threads: 2 Forward time: 0.71s Backward time: 0.38s Step time: 2.25s\n",
            "605120 Examples seen. Accuracy: 0.7365 Error: 0.65867 Loss: 0.75340 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.23s\n",
            "605760 Examples seen. Accuracy: 0.7325 Error: 0.83955 Loss: 1.09509 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.22s\n",
            "606400 Examples seen. Accuracy: 0.7329 Error: 0.68075 Loss: 0.74307 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "607040 Examples seen. Accuracy: 0.7348 Error: 0.72267 Loss: 0.98237 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "607680 Examples seen. Accuracy: 0.7368 Error: 0.64895 Loss: 0.57925 Threads: 2 Forward time: 0.72s Backward time: 0.44s Step time: 2.24s\n",
            "608320 Examples seen. Accuracy: 0.7386 Error: 0.59484 Loss: 0.67471 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "608960 Examples seen. Accuracy: 0.7376 Error: 0.92837 Loss: 1.08551 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.25s\n",
            "609600 Examples seen. Accuracy: 0.7332 Error: 0.74487 Loss: 0.72064 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.24s\n",
            "610240 Examples seen. Accuracy: 0.7330 Error: 0.61891 Loss: 0.60612 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "610880 Examples seen. Accuracy: 0.7345 Error: 0.68090 Loss: 0.70807 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.25s\n",
            "611520 Examples seen. Accuracy: 0.7347 Error: 0.71821 Loss: 0.72071 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.25s\n",
            "612160 Examples seen. Accuracy: 0.7347 Error: 0.67727 Loss: 0.79103 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.24s\n",
            "612800 Examples seen. Accuracy: 0.7346 Error: 0.64321 Loss: 0.71347 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "613440 Examples seen. Accuracy: 0.7354 Error: 0.86482 Loss: 1.03235 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.29s\n",
            "614080 Examples seen. Accuracy: 0.7345 Error: 0.79361 Loss: 0.89498 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.29s\n",
            "614720 Examples seen. Accuracy: 0.7313 Error: 0.75310 Loss: 0.85220 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.24s\n",
            "615360 Examples seen. Accuracy: 0.7311 Error: 0.80142 Loss: 0.85136 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.23s\n",
            "616000 Examples seen. Accuracy: 0.7319 Error: 0.85156 Loss: 0.92874 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "616640 Examples seen. Accuracy: 0.7325 Error: 0.71977 Loss: 0.92685 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "617280 Examples seen. Accuracy: 0.7308 Error: 0.63902 Loss: 0.66988 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.23s\n",
            "617920 Examples seen. Accuracy: 0.7308 Error: 0.74319 Loss: 0.80647 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.22s\n",
            "618560 Examples seen. Accuracy: 0.7323 Error: 0.68184 Loss: 0.73890 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.21s\n",
            "619200 Examples seen. Accuracy: 0.7325 Error: 0.81646 Loss: 0.97258 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.23s\n",
            "619840 Examples seen. Accuracy: 0.7334 Error: 0.67333 Loss: 0.61803 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.26s\n",
            "620480 Examples seen. Accuracy: 0.7344 Error: 0.74474 Loss: 0.86607 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.23s\n",
            "621120 Examples seen. Accuracy: 0.7341 Error: 0.61966 Loss: 0.65237 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.22s\n",
            "621760 Examples seen. Accuracy: 0.7330 Error: 0.74581 Loss: 0.71640 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.22s\n",
            "622400 Examples seen. Accuracy: 0.7339 Error: 0.66135 Loss: 0.79537 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.21s\n",
            "623040 Examples seen. Accuracy: 0.7365 Error: 0.58393 Loss: 0.52766 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.20s\n",
            "623680 Examples seen. Accuracy: 0.7352 Error: 0.77711 Loss: 0.85853 Threads: 2 Forward time: 0.65s Backward time: 0.41s Step time: 2.22s\n",
            "624320 Examples seen. Accuracy: 0.7343 Error: 0.73479 Loss: 0.76162 Threads: 2 Forward time: 0.69s Backward time: 0.46s Step time: 2.26s\n",
            "624960 Examples seen. Accuracy: 0.7345 Error: 0.65527 Loss: 0.64969 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.23s\n",
            "625600 Examples seen. Accuracy: 0.7370 Error: 0.74948 Loss: 0.82470 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.19s\n",
            "626240 Examples seen. Accuracy: 0.7369 Error: 0.90981 Loss: 1.05147 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.21s\n",
            "626880 Examples seen. Accuracy: 0.7373 Error: 0.66287 Loss: 0.80990 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "627520 Examples seen. Accuracy: 0.7359 Error: 0.73969 Loss: 0.81561 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.22s\n",
            "628160 Examples seen. Accuracy: 0.7375 Error: 0.79360 Loss: 0.84161 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.21s\n",
            "628800 Examples seen. Accuracy: 0.7365 Error: 0.72637 Loss: 0.88804 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.23s\n",
            "629440 Examples seen. Accuracy: 0.7359 Error: 0.72532 Loss: 0.76928 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.26s\n",
            "630080 Examples seen. Accuracy: 0.7339 Error: 0.57431 Loss: 0.51671 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.25s\n",
            "630720 Examples seen. Accuracy: 0.7336 Error: 0.62127 Loss: 0.61188 Threads: 2 Forward time: 0.65s Backward time: 0.40s Step time: 2.23s\n",
            "631360 Examples seen. Accuracy: 0.7341 Error: 0.70153 Loss: 0.74808 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.23s\n",
            "632000 Examples seen. Accuracy: 0.7343 Error: 0.71181 Loss: 0.77254 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.20s\n",
            "632640 Examples seen. Accuracy: 0.7333 Error: 0.66034 Loss: 0.62480 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.21s\n",
            "633280 Examples seen. Accuracy: 0.7344 Error: 0.71350 Loss: 0.66858 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.20s\n",
            "633920 Examples seen. Accuracy: 0.7314 Error: 0.76506 Loss: 0.98048 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.20s\n",
            "634560 Examples seen. Accuracy: 0.7327 Error: 0.74348 Loss: 0.81963 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.19s\n",
            "635200 Examples seen. Accuracy: 0.7361 Error: 0.73710 Loss: 0.84706 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.22s\n",
            "635840 Examples seen. Accuracy: 0.7375 Error: 0.52457 Loss: 0.48535 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "636480 Examples seen. Accuracy: 0.7363 Error: 0.79605 Loss: 0.85576 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.18s\n",
            "637120 Examples seen. Accuracy: 0.7340 Error: 0.72260 Loss: 0.85414 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.21s\n",
            "637760 Examples seen. Accuracy: 0.7327 Error: 0.94315 Loss: 1.11068 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.21s\n",
            "638400 Examples seen. Accuracy: 0.7327 Error: 0.80111 Loss: 0.81753 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.27s\n",
            "639040 Examples seen. Accuracy: 0.7333 Error: 0.63148 Loss: 0.62587 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.25s\n",
            "639680 Examples seen. Accuracy: 0.7328 Error: 0.70743 Loss: 0.76274 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.22s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 16 Examples seen:640000 Validation Accuracy: 0.7886 Validation Error: 0.5938 Validation Loss: 0.6055 Total time: 56.24min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.376 Min Weight:  -0.457 Max Output:  3.971 Min Output: -4.654 TNNetConvolutionLinear 32,32,64 Times: 30.17s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  3.971 Min Output: -0.845 TNNetMaxPool 8,8,64 Times: 6.98s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.731 Min Weight:   0.680 Max Output:  4.762 Min Output: -2.316 TNNetMovingStdNormalization 8,8,64 Times: 0.15s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.217 Min Weight:  -0.216 Max Output:  9.054 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.02s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.218 Min Weight:  -0.187 Max Output:  5.782 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.12s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.226 Min Weight:  -0.198 Max Output:  3.523 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.00s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.193 Min Weight:  -0.176 Max Output:  2.450 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.13s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  2.450 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.02s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  2.450 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.40s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.274 Min Weight:  -0.236 Max Output:  4.063 Min Output: -6.511 TNNetFullConnectLinear 10,1,1 Times: 0.10s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.533 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Epoch time: 2.3135 minutes. 50 epochs: 1.9280 hours.\n",
            "Epochs: 16. Working time: 0.94 hours.\n",
            "640640 Examples seen. Accuracy: 0.7309 Error: 0.82638 Loss: 0.92494 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.25s\n",
            "641280 Examples seen. Accuracy: 0.7325 Error: 0.91600 Loss: 0.94810 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "641920 Examples seen. Accuracy: 0.7340 Error: 0.57504 Loss: 0.58877 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.24s\n",
            "642560 Examples seen. Accuracy: 0.7361 Error: 0.70371 Loss: 0.66729 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.24s\n",
            "643200 Examples seen. Accuracy: 0.7349 Error: 0.59611 Loss: 0.55064 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.26s\n",
            "643840 Examples seen. Accuracy: 0.7356 Error: 0.68335 Loss: 0.72285 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.24s\n",
            "644480 Examples seen. Accuracy: 0.7354 Error: 0.79125 Loss: 0.81970 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.21s\n",
            "645120 Examples seen. Accuracy: 0.7341 Error: 0.62963 Loss: 0.66480 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.22s\n",
            "645760 Examples seen. Accuracy: 0.7348 Error: 0.63267 Loss: 0.68203 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "646400 Examples seen. Accuracy: 0.7334 Error: 0.77634 Loss: 0.77292 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.21s\n",
            "647040 Examples seen. Accuracy: 0.7340 Error: 0.68604 Loss: 0.74443 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.21s\n",
            "647680 Examples seen. Accuracy: 0.7323 Error: 0.84024 Loss: 0.88229 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.25s\n",
            "648320 Examples seen. Accuracy: 0.7335 Error: 0.64345 Loss: 0.62506 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.22s\n",
            "648960 Examples seen. Accuracy: 0.7369 Error: 0.67470 Loss: 0.64669 Threads: 2 Forward time: 0.65s Backward time: 0.40s Step time: 2.22s\n",
            "649600 Examples seen. Accuracy: 0.7390 Error: 0.73256 Loss: 0.85692 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "650240 Examples seen. Accuracy: 0.7400 Error: 0.73254 Loss: 0.79751 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.21s\n",
            "650880 Examples seen. Accuracy: 0.7407 Error: 0.62521 Loss: 0.64345 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "651520 Examples seen. Accuracy: 0.7369 Error: 0.68342 Loss: 0.63963 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.19s\n",
            "652160 Examples seen. Accuracy: 0.7377 Error: 0.68928 Loss: 0.77645 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.24s\n",
            "652800 Examples seen. Accuracy: 0.7373 Error: 0.64143 Loss: 0.56451 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.27s\n",
            "653440 Examples seen. Accuracy: 0.7380 Error: 0.72414 Loss: 0.73863 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.22s\n",
            "654080 Examples seen. Accuracy: 0.7420 Error: 0.54171 Loss: 0.52409 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.20s\n",
            "654720 Examples seen. Accuracy: 0.7420 Error: 0.74278 Loss: 0.77258 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.23s\n",
            "655360 Examples seen. Accuracy: 0.7423 Error: 0.66121 Loss: 0.72188 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "656000 Examples seen. Accuracy: 0.7432 Error: 0.82239 Loss: 0.94187 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.21s\n",
            "656640 Examples seen. Accuracy: 0.7427 Error: 0.64885 Loss: 0.68349 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "657280 Examples seen. Accuracy: 0.7437 Error: 0.71814 Loss: 0.74520 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.21s\n",
            "657920 Examples seen. Accuracy: 0.7453 Error: 0.64737 Loss: 0.62897 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "658560 Examples seen. Accuracy: 0.7464 Error: 0.70529 Loss: 0.81118 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.21s\n",
            "659200 Examples seen. Accuracy: 0.7449 Error: 0.76477 Loss: 1.09963 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.26s\n",
            "659840 Examples seen. Accuracy: 0.7471 Error: 0.64581 Loss: 0.68587 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.30s\n",
            "660480 Examples seen. Accuracy: 0.7464 Error: 0.65515 Loss: 0.56691 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.30s\n",
            "661120 Examples seen. Accuracy: 0.7461 Error: 0.70373 Loss: 0.77010 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.29s\n",
            "661760 Examples seen. Accuracy: 0.7470 Error: 0.52837 Loss: 0.51442 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "662400 Examples seen. Accuracy: 0.7482 Error: 0.67102 Loss: 0.58382 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "663040 Examples seen. Accuracy: 0.7493 Error: 0.72828 Loss: 0.79608 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "663680 Examples seen. Accuracy: 0.7502 Error: 0.66922 Loss: 0.78517 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "664320 Examples seen. Accuracy: 0.7477 Error: 0.65005 Loss: 0.62998 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.24s\n",
            "664960 Examples seen. Accuracy: 0.7478 Error: 0.72008 Loss: 0.77701 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.27s\n",
            "665600 Examples seen. Accuracy: 0.7495 Error: 0.62754 Loss: 0.72530 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "666240 Examples seen. Accuracy: 0.7461 Error: 0.71913 Loss: 0.76676 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "666880 Examples seen. Accuracy: 0.7466 Error: 0.61662 Loss: 0.64074 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.23s\n",
            "667520 Examples seen. Accuracy: 0.7455 Error: 0.61484 Loss: 0.64118 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.25s\n",
            "668160 Examples seen. Accuracy: 0.7463 Error: 0.80282 Loss: 0.86444 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.23s\n",
            "668800 Examples seen. Accuracy: 0.7447 Error: 0.71970 Loss: 0.75942 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "669440 Examples seen. Accuracy: 0.7445 Error: 0.65272 Loss: 0.62319 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.22s\n",
            "670080 Examples seen. Accuracy: 0.7454 Error: 0.70711 Loss: 0.83477 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "670720 Examples seen. Accuracy: 0.7454 Error: 0.66471 Loss: 0.64513 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.23s\n",
            "671360 Examples seen. Accuracy: 0.7447 Error: 0.57398 Loss: 0.54833 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.26s\n",
            "672000 Examples seen. Accuracy: 0.7429 Error: 0.62394 Loss: 0.56139 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.23s\n",
            "672640 Examples seen. Accuracy: 0.7434 Error: 0.75827 Loss: 0.80341 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.26s\n",
            "673280 Examples seen. Accuracy: 0.7425 Error: 0.62356 Loss: 0.59256 Threads: 2 Forward time: 0.69s Backward time: 0.46s Step time: 2.27s\n",
            "673920 Examples seen. Accuracy: 0.7451 Error: 0.64164 Loss: 0.54813 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.24s\n",
            "674560 Examples seen. Accuracy: 0.7429 Error: 0.78330 Loss: 0.82028 Threads: 2 Forward time: 0.65s Backward time: 0.41s Step time: 2.22s\n",
            "675200 Examples seen. Accuracy: 0.7451 Error: 0.54920 Loss: 0.46735 Threads: 2 Forward time: 0.65s Backward time: 0.41s Step time: 2.26s\n",
            "675840 Examples seen. Accuracy: 0.7441 Error: 0.76564 Loss: 0.83251 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "676480 Examples seen. Accuracy: 0.7445 Error: 0.58589 Loss: 0.55629 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.22s\n",
            "677120 Examples seen. Accuracy: 0.7452 Error: 0.72955 Loss: 0.75121 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.22s\n",
            "677760 Examples seen. Accuracy: 0.7426 Error: 0.75823 Loss: 0.81646 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "678400 Examples seen. Accuracy: 0.7427 Error: 0.77147 Loss: 0.91921 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.26s\n",
            "679040 Examples seen. Accuracy: 0.7439 Error: 0.80838 Loss: 0.76238 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.26s\n",
            "679680 Examples seen. Accuracy: 0.7443 Error: 0.63170 Loss: 0.62603 Threads: 2 Forward time: 0.67s Backward time: 0.46s Step time: 2.28s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 17 Examples seen:680000 Validation Accuracy: 0.7973 Validation Error: 0.5764 Validation Loss: 0.5915 Total time: 59.61min\n",
            "Epoch time: 2.3740 minutes. 50 epochs: 1.9783 hours.\n",
            "Epochs: 17. Working time: 0.99 hours.\n",
            "680640 Examples seen. Accuracy: 0.7444 Error: 0.76471 Loss: 0.85697 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.27s\n",
            "681280 Examples seen. Accuracy: 0.7440 Error: 0.63860 Loss: 0.62789 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.26s\n",
            "681920 Examples seen. Accuracy: 0.7461 Error: 0.70501 Loss: 0.67998 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.24s\n",
            "682560 Examples seen. Accuracy: 0.7463 Error: 0.67425 Loss: 0.66258 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.23s\n",
            "683200 Examples seen. Accuracy: 0.7457 Error: 0.82548 Loss: 0.93123 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "683840 Examples seen. Accuracy: 0.7447 Error: 0.76277 Loss: 0.79113 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.21s\n",
            "684480 Examples seen. Accuracy: 0.7462 Error: 0.60808 Loss: 0.65183 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.22s\n",
            "685120 Examples seen. Accuracy: 0.7474 Error: 0.68330 Loss: 0.79063 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.21s\n",
            "685760 Examples seen. Accuracy: 0.7478 Error: 0.62325 Loss: 0.73712 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.23s\n",
            "686400 Examples seen. Accuracy: 0.7448 Error: 0.75919 Loss: 0.78990 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.23s\n",
            "687040 Examples seen. Accuracy: 0.7424 Error: 0.69270 Loss: 0.80321 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.21s\n",
            "687680 Examples seen. Accuracy: 0.7432 Error: 0.59096 Loss: 0.65548 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.19s\n",
            "688320 Examples seen. Accuracy: 0.7419 Error: 0.62345 Loss: 0.58529 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.19s\n",
            "688960 Examples seen. Accuracy: 0.7423 Error: 0.69672 Loss: 0.71657 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.21s\n",
            "689600 Examples seen. Accuracy: 0.7398 Error: 0.81346 Loss: 0.97869 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.23s\n",
            "690240 Examples seen. Accuracy: 0.7425 Error: 0.64256 Loss: 0.70856 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.26s\n",
            "690880 Examples seen. Accuracy: 0.7439 Error: 0.57510 Loss: 0.54927 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.24s\n",
            "691520 Examples seen. Accuracy: 0.7435 Error: 0.65889 Loss: 0.68224 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.21s\n",
            "692160 Examples seen. Accuracy: 0.7444 Error: 0.70932 Loss: 0.69278 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.22s\n",
            "692800 Examples seen. Accuracy: 0.7469 Error: 0.76683 Loss: 0.81982 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.21s\n",
            "693440 Examples seen. Accuracy: 0.7489 Error: 0.57121 Loss: 0.58941 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.21s\n",
            "694080 Examples seen. Accuracy: 0.7503 Error: 0.65543 Loss: 0.64369 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.19s\n",
            "694720 Examples seen. Accuracy: 0.7507 Error: 0.59517 Loss: 0.71840 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.22s\n",
            "695360 Examples seen. Accuracy: 0.7505 Error: 0.64793 Loss: 0.70247 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.23s\n",
            "696000 Examples seen. Accuracy: 0.7514 Error: 0.54395 Loss: 0.54845 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.22s\n",
            "696640 Examples seen. Accuracy: 0.7524 Error: 0.45395 Loss: 0.43116 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.24s\n",
            "697280 Examples seen. Accuracy: 0.7508 Error: 0.58586 Loss: 0.66098 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "697920 Examples seen. Accuracy: 0.7504 Error: 0.68551 Loss: 0.68534 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.21s\n",
            "698560 Examples seen. Accuracy: 0.7500 Error: 0.67417 Loss: 0.63803 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.23s\n",
            "699200 Examples seen. Accuracy: 0.7515 Error: 0.72931 Loss: 0.82549 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.21s\n",
            "699840 Examples seen. Accuracy: 0.7498 Error: 0.72527 Loss: 0.73511 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "700480 Examples seen. Accuracy: 0.7501 Error: 0.71699 Loss: 0.83645 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.21s\n",
            "701120 Examples seen. Accuracy: 0.7497 Error: 0.69301 Loss: 0.84705 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "701760 Examples seen. Accuracy: 0.7515 Error: 0.61931 Loss: 0.71229 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.23s\n",
            "702400 Examples seen. Accuracy: 0.7481 Error: 0.67687 Loss: 0.66375 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.23s\n",
            "703040 Examples seen. Accuracy: 0.7480 Error: 0.66191 Loss: 0.66811 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.22s\n",
            "703680 Examples seen. Accuracy: 0.7476 Error: 0.54325 Loss: 0.52029 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.21s\n",
            "704320 Examples seen. Accuracy: 0.7478 Error: 0.66869 Loss: 0.73869 Threads: 2 Forward time: 0.71s Backward time: 0.38s Step time: 2.19s\n",
            "704960 Examples seen. Accuracy: 0.7475 Error: 0.66700 Loss: 0.70041 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.19s\n",
            "705600 Examples seen. Accuracy: 0.7458 Error: 0.58845 Loss: 0.60085 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.19s\n",
            "706240 Examples seen. Accuracy: 0.7441 Error: 0.67111 Loss: 0.69219 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.19s\n",
            "706880 Examples seen. Accuracy: 0.7458 Error: 0.84117 Loss: 0.96418 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "707520 Examples seen. Accuracy: 0.7439 Error: 0.69631 Loss: 0.85907 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "708160 Examples seen. Accuracy: 0.7423 Error: 0.73660 Loss: 0.76291 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.21s\n",
            "708800 Examples seen. Accuracy: 0.7433 Error: 0.61974 Loss: 0.54191 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "709440 Examples seen. Accuracy: 0.7443 Error: 0.68206 Loss: 0.72189 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.21s\n",
            "710080 Examples seen. Accuracy: 0.7427 Error: 0.63347 Loss: 0.74007 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.21s\n",
            "710720 Examples seen. Accuracy: 0.7406 Error: 0.81315 Loss: 0.86407 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.21s\n",
            "711360 Examples seen. Accuracy: 0.7426 Error: 0.67010 Loss: 0.69347 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.21s\n",
            "712000 Examples seen. Accuracy: 0.7440 Error: 0.61678 Loss: 0.59234 Threads: 2 Forward time: 0.71s Backward time: 0.38s Step time: 2.21s\n",
            "712640 Examples seen. Accuracy: 0.7461 Error: 0.78602 Loss: 0.85127 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.20s\n",
            "713280 Examples seen. Accuracy: 0.7470 Error: 0.62901 Loss: 0.65326 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.20s\n",
            "713920 Examples seen. Accuracy: 0.7466 Error: 0.72594 Loss: 0.72941 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.20s\n",
            "714560 Examples seen. Accuracy: 0.7476 Error: 0.60528 Loss: 0.52597 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.19s\n",
            "715200 Examples seen. Accuracy: 0.7481 Error: 0.56867 Loss: 0.62178 Threads: 2 Forward time: 0.65s Backward time: 0.41s Step time: 2.22s\n",
            "715840 Examples seen. Accuracy: 0.7491 Error: 0.69793 Loss: 0.85806 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.21s\n",
            "716480 Examples seen. Accuracy: 0.7496 Error: 0.61443 Loss: 0.68154 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.23s\n",
            "717120 Examples seen. Accuracy: 0.7459 Error: 0.70307 Loss: 0.72271 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.20s\n",
            "717760 Examples seen. Accuracy: 0.7427 Error: 0.75862 Loss: 0.80682 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.19s\n",
            "718400 Examples seen. Accuracy: 0.7406 Error: 0.77899 Loss: 0.76672 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.20s\n",
            "719040 Examples seen. Accuracy: 0.7371 Error: 0.77070 Loss: 0.89312 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "719680 Examples seen. Accuracy: 0.7384 Error: 0.68532 Loss: 0.77363 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.20s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 18 Examples seen:720000 Validation Accuracy: 0.8013 Validation Error: 0.5615 Validation Loss: 0.5810 Total time: 62.96min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.401 Min Weight:  -0.477 Max Output:  4.046 Min Output: -4.851 TNNetConvolutionLinear 32,32,64 Times: 30.15s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  4.046 Min Output: -0.858 TNNetMaxPool 8,8,64 Times: 6.94s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.749 Min Weight:   0.696 Max Output:  4.736 Min Output: -2.308 TNNetMovingStdNormalization 8,8,64 Times: 0.12s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.233 Min Weight:  -0.228 Max Output:  9.352 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.03s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.230 Min Weight:  -0.197 Max Output:  6.127 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.05s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.239 Min Weight:  -0.207 Max Output:  3.796 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 5.96s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.196 Min Weight:  -0.185 Max Output:  2.495 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.10s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  2.495 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.02s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  2.495 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.40s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.277 Min Weight:  -0.243 Max Output:  4.363 Min Output: -6.905 TNNetFullConnectLinear 10,1,1 Times: 0.08s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.525 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Epoch time: 2.2948 minutes. 50 epochs: 1.9123 hours.\n",
            "Epochs: 18. Working time: 1.05 hours.\n",
            "720640 Examples seen. Accuracy: 0.7384 Error: 0.81479 Loss: 0.86477 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.23s\n",
            "721280 Examples seen. Accuracy: 0.7369 Error: 0.67019 Loss: 0.67882 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.21s\n",
            "721920 Examples seen. Accuracy: 0.7353 Error: 0.71617 Loss: 0.81941 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.21s\n",
            "722560 Examples seen. Accuracy: 0.7355 Error: 0.78681 Loss: 0.94953 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.20s\n",
            "723200 Examples seen. Accuracy: 0.7355 Error: 0.59769 Loss: 0.64527 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.22s\n",
            "723840 Examples seen. Accuracy: 0.7370 Error: 0.67503 Loss: 0.75800 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.23s\n",
            "724480 Examples seen. Accuracy: 0.7363 Error: 0.67807 Loss: 0.70894 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.26s\n",
            "725120 Examples seen. Accuracy: 0.7359 Error: 0.68503 Loss: 0.70721 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.23s\n",
            "725760 Examples seen. Accuracy: 0.7349 Error: 0.81691 Loss: 0.85376 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.26s\n",
            "726400 Examples seen. Accuracy: 0.7354 Error: 0.69860 Loss: 0.84943 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.26s\n",
            "727040 Examples seen. Accuracy: 0.7392 Error: 0.60966 Loss: 0.59020 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.23s\n",
            "727680 Examples seen. Accuracy: 0.7426 Error: 0.60382 Loss: 0.73869 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.25s\n",
            "728320 Examples seen. Accuracy: 0.7448 Error: 0.67780 Loss: 0.67395 Threads: 2 Forward time: 0.65s Backward time: 0.41s Step time: 2.23s\n",
            "728960 Examples seen. Accuracy: 0.7438 Error: 0.79227 Loss: 0.86053 Threads: 2 Forward time: 0.71s Backward time: 0.38s Step time: 2.24s\n",
            "729600 Examples seen. Accuracy: 0.7463 Error: 0.54816 Loss: 0.49878 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.23s\n",
            "730240 Examples seen. Accuracy: 0.7495 Error: 0.59373 Loss: 0.73298 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.24s\n",
            "730880 Examples seen. Accuracy: 0.7479 Error: 0.66296 Loss: 0.65091 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.25s\n",
            "731520 Examples seen. Accuracy: 0.7503 Error: 0.63504 Loss: 0.61188 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.22s\n",
            "732160 Examples seen. Accuracy: 0.7494 Error: 0.69592 Loss: 0.78318 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.22s\n",
            "732800 Examples seen. Accuracy: 0.7530 Error: 0.68255 Loss: 0.68436 Threads: 2 Forward time: 0.72s Backward time: 0.44s Step time: 2.30s\n",
            "733440 Examples seen. Accuracy: 0.7548 Error: 0.63731 Loss: 0.62985 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.30s\n",
            "734080 Examples seen. Accuracy: 0.7564 Error: 0.58715 Loss: 0.62825 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.24s\n",
            "734720 Examples seen. Accuracy: 0.7562 Error: 0.68128 Loss: 0.78043 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.22s\n",
            "735360 Examples seen. Accuracy: 0.7534 Error: 0.80153 Loss: 0.81774 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.24s\n",
            "736000 Examples seen. Accuracy: 0.7551 Error: 0.64163 Loss: 0.60553 Threads: 2 Forward time: 0.65s Backward time: 0.41s Step time: 2.23s\n",
            "736640 Examples seen. Accuracy: 0.7525 Error: 0.66038 Loss: 0.72153 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "737280 Examples seen. Accuracy: 0.7538 Error: 0.80220 Loss: 1.03444 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.23s\n",
            "737920 Examples seen. Accuracy: 0.7535 Error: 0.65068 Loss: 0.72064 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.28s\n",
            "738560 Examples seen. Accuracy: 0.7521 Error: 0.72063 Loss: 0.80066 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "739200 Examples seen. Accuracy: 0.7522 Error: 0.75485 Loss: 0.69329 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.23s\n",
            "739840 Examples seen. Accuracy: 0.7534 Error: 0.47387 Loss: 0.40322 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.22s\n",
            "740480 Examples seen. Accuracy: 0.7523 Error: 0.57351 Loss: 0.60010 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.22s\n",
            "741120 Examples seen. Accuracy: 0.7529 Error: 0.57557 Loss: 0.60500 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "741760 Examples seen. Accuracy: 0.7528 Error: 0.73074 Loss: 0.84120 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.23s\n",
            "742400 Examples seen. Accuracy: 0.7515 Error: 0.79246 Loss: 0.84883 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.26s\n",
            "743040 Examples seen. Accuracy: 0.7504 Error: 0.56091 Loss: 0.58200 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.30s\n",
            "743680 Examples seen. Accuracy: 0.7513 Error: 0.72926 Loss: 0.91264 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.27s\n",
            "744320 Examples seen. Accuracy: 0.7518 Error: 0.60331 Loss: 0.53953 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.23s\n",
            "744960 Examples seen. Accuracy: 0.7500 Error: 0.62054 Loss: 0.62459 Threads: 2 Forward time: 0.70s Backward time: 0.38s Step time: 2.23s\n",
            "745600 Examples seen. Accuracy: 0.7474 Error: 0.90180 Loss: 0.91301 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.23s\n",
            "746240 Examples seen. Accuracy: 0.7437 Error: 0.71330 Loss: 0.63391 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.22s\n",
            "746880 Examples seen. Accuracy: 0.7424 Error: 0.64487 Loss: 0.63013 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.20s\n",
            "747520 Examples seen. Accuracy: 0.7414 Error: 0.71003 Loss: 0.79684 Threads: 2 Forward time: 0.65s Backward time: 0.40s Step time: 2.21s\n",
            "748160 Examples seen. Accuracy: 0.7399 Error: 0.79718 Loss: 1.08230 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.31s\n",
            "748800 Examples seen. Accuracy: 0.7414 Error: 0.57249 Loss: 0.49681 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.26s\n",
            "749440 Examples seen. Accuracy: 0.7428 Error: 0.65894 Loss: 0.59739 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.25s\n",
            "750080 Examples seen. Accuracy: 0.7411 Error: 0.77658 Loss: 0.92213 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.29s\n",
            "750720 Examples seen. Accuracy: 0.7390 Error: 0.64206 Loss: 0.67396 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.22s\n",
            "751360 Examples seen. Accuracy: 0.7382 Error: 0.61305 Loss: 0.64371 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.27s\n",
            "752000 Examples seen. Accuracy: 0.7392 Error: 0.56364 Loss: 0.58881 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "752640 Examples seen. Accuracy: 0.7416 Error: 0.68479 Loss: 0.67162 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "753280 Examples seen. Accuracy: 0.7419 Error: 0.68147 Loss: 0.71788 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "753920 Examples seen. Accuracy: 0.7415 Error: 0.81534 Loss: 0.92658 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.24s\n",
            "754560 Examples seen. Accuracy: 0.7403 Error: 0.84757 Loss: 0.84771 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.21s\n",
            "755200 Examples seen. Accuracy: 0.7426 Error: 0.61342 Loss: 0.61207 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.22s\n",
            "755840 Examples seen. Accuracy: 0.7454 Error: 0.59487 Loss: 0.54379 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.23s\n",
            "756480 Examples seen. Accuracy: 0.7465 Error: 0.68374 Loss: 0.61202 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "757120 Examples seen. Accuracy: 0.7472 Error: 0.68763 Loss: 0.79570 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.26s\n",
            "757760 Examples seen. Accuracy: 0.7487 Error: 0.62339 Loss: 0.53550 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "758400 Examples seen. Accuracy: 0.7468 Error: 0.73641 Loss: 0.82330 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.23s\n",
            "759040 Examples seen. Accuracy: 0.7467 Error: 0.73017 Loss: 0.76498 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.21s\n",
            "759680 Examples seen. Accuracy: 0.7465 Error: 0.78027 Loss: 0.87566 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.22s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 19 Examples seen:760000 Validation Accuracy: 0.8041 Validation Error: 0.5506 Validation Loss: 0.5727 Total time: 66.33min\n",
            "Epoch time: 2.3094 minutes. 50 epochs: 1.9245 hours.\n",
            "Epochs: 19. Working time: 1.11 hours.\n",
            "760640 Examples seen. Accuracy: 0.7455 Error: 0.76612 Loss: 0.65207 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.28s\n",
            "761280 Examples seen. Accuracy: 0.7450 Error: 0.65331 Loss: 0.60922 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.23s\n",
            "761920 Examples seen. Accuracy: 0.7421 Error: 0.69570 Loss: 0.79371 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "762560 Examples seen. Accuracy: 0.7440 Error: 0.62391 Loss: 0.65246 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.30s\n",
            "763200 Examples seen. Accuracy: 0.7443 Error: 0.65916 Loss: 0.72765 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.23s\n",
            "763840 Examples seen. Accuracy: 0.7428 Error: 0.73183 Loss: 0.81312 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.22s\n",
            "764480 Examples seen. Accuracy: 0.7430 Error: 0.59290 Loss: 0.64103 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.22s\n",
            "765120 Examples seen. Accuracy: 0.7456 Error: 0.63603 Loss: 0.78334 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.21s\n",
            "765760 Examples seen. Accuracy: 0.7441 Error: 0.77148 Loss: 0.74225 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.22s\n",
            "766400 Examples seen. Accuracy: 0.7441 Error: 0.57005 Loss: 0.55999 Threads: 2 Forward time: 0.73s Backward time: 0.42s Step time: 2.26s\n",
            "767040 Examples seen. Accuracy: 0.7447 Error: 0.59310 Loss: 0.60814 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.23s\n",
            "767680 Examples seen. Accuracy: 0.7456 Error: 0.58268 Loss: 0.55473 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.21s\n",
            "768320 Examples seen. Accuracy: 0.7465 Error: 0.65579 Loss: 0.66358 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.22s\n",
            "768960 Examples seen. Accuracy: 0.7464 Error: 0.66301 Loss: 0.75138 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.27s\n",
            "769600 Examples seen. Accuracy: 0.7473 Error: 0.68843 Loss: 0.66562 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.24s\n",
            "770240 Examples seen. Accuracy: 0.7483 Error: 0.64479 Loss: 0.59848 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.21s\n",
            "770880 Examples seen. Accuracy: 0.7474 Error: 0.68483 Loss: 0.76079 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.23s\n",
            "771520 Examples seen. Accuracy: 0.7471 Error: 0.66196 Loss: 0.55847 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "772160 Examples seen. Accuracy: 0.7460 Error: 0.59508 Loss: 0.75376 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "772800 Examples seen. Accuracy: 0.7444 Error: 0.68392 Loss: 0.67414 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.21s\n",
            "773440 Examples seen. Accuracy: 0.7450 Error: 0.62442 Loss: 0.66875 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.21s\n",
            "774080 Examples seen. Accuracy: 0.7469 Error: 0.51962 Loss: 0.57829 Threads: 2 Forward time: 0.72s Backward time: 0.39s Step time: 2.23s\n",
            "774720 Examples seen. Accuracy: 0.7493 Error: 0.73002 Loss: 0.74118 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "775360 Examples seen. Accuracy: 0.7509 Error: 0.87295 Loss: 1.02797 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.22s\n",
            "776000 Examples seen. Accuracy: 0.7509 Error: 0.60510 Loss: 0.75229 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "776640 Examples seen. Accuracy: 0.7510 Error: 0.77568 Loss: 0.82427 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.26s\n",
            "777280 Examples seen. Accuracy: 0.7513 Error: 0.62681 Loss: 0.68385 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.32s\n",
            "777920 Examples seen. Accuracy: 0.7479 Error: 0.56135 Loss: 0.66979 Threads: 2 Forward time: 0.73s Backward time: 0.43s Step time: 2.33s\n",
            "778560 Examples seen. Accuracy: 0.7494 Error: 0.69744 Loss: 0.83112 Threads: 2 Forward time: 0.76s Backward time: 0.38s Step time: 2.34s\n",
            "779200 Examples seen. Accuracy: 0.7482 Error: 0.54071 Loss: 0.50365 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.36s\n",
            "779840 Examples seen. Accuracy: 0.7483 Error: 0.60984 Loss: 0.71318 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.28s\n",
            "780480 Examples seen. Accuracy: 0.7466 Error: 0.77419 Loss: 0.76812 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.28s\n",
            "781120 Examples seen. Accuracy: 0.7462 Error: 0.69827 Loss: 0.70623 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "781760 Examples seen. Accuracy: 0.7458 Error: 0.78953 Loss: 0.81987 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.24s\n",
            "782400 Examples seen. Accuracy: 0.7457 Error: 0.46266 Loss: 0.45021 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.24s\n",
            "783040 Examples seen. Accuracy: 0.7473 Error: 0.63881 Loss: 0.68950 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.26s\n",
            "783680 Examples seen. Accuracy: 0.7462 Error: 0.67190 Loss: 0.75382 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.32s\n",
            "784320 Examples seen. Accuracy: 0.7465 Error: 0.70063 Loss: 0.83063 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.31s\n",
            "784960 Examples seen. Accuracy: 0.7447 Error: 0.54616 Loss: 0.48841 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.26s\n",
            "785600 Examples seen. Accuracy: 0.7452 Error: 0.68409 Loss: 0.66861 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.24s\n",
            "786240 Examples seen. Accuracy: 0.7467 Error: 0.75765 Loss: 0.84731 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.27s\n",
            "786880 Examples seen. Accuracy: 0.7501 Error: 0.64454 Loss: 0.68241 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.23s\n",
            "787520 Examples seen. Accuracy: 0.7516 Error: 0.69561 Loss: 0.81390 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.24s\n",
            "788160 Examples seen. Accuracy: 0.7521 Error: 0.74395 Loss: 0.79623 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.27s\n",
            "788800 Examples seen. Accuracy: 0.7530 Error: 0.66210 Loss: 0.68422 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.30s\n",
            "789440 Examples seen. Accuracy: 0.7544 Error: 0.65908 Loss: 0.68625 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.27s\n",
            "790080 Examples seen. Accuracy: 0.7547 Error: 0.75703 Loss: 0.96614 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.25s\n",
            "790720 Examples seen. Accuracy: 0.7527 Error: 0.70642 Loss: 0.68642 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.26s\n",
            "791360 Examples seen. Accuracy: 0.7519 Error: 0.65446 Loss: 0.74613 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.28s\n",
            "792000 Examples seen. Accuracy: 0.7507 Error: 0.71545 Loss: 0.79001 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.29s\n",
            "792640 Examples seen. Accuracy: 0.7496 Error: 0.53167 Loss: 0.44972 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.21s\n",
            "793280 Examples seen. Accuracy: 0.7492 Error: 0.65414 Loss: 0.75987 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.21s\n",
            "793920 Examples seen. Accuracy: 0.7471 Error: 0.60184 Loss: 0.50171 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.23s\n",
            "794560 Examples seen. Accuracy: 0.7457 Error: 0.98126 Loss: 1.20397 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.24s\n",
            "795200 Examples seen. Accuracy: 0.7465 Error: 0.69250 Loss: 0.71571 Threads: 2 Forward time: 0.65s Backward time: 0.40s Step time: 2.22s\n",
            "795840 Examples seen. Accuracy: 0.7447 Error: 0.82366 Loss: 0.81982 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.21s\n",
            "796480 Examples seen. Accuracy: 0.7432 Error: 0.72180 Loss: 0.82688 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.20s\n",
            "797120 Examples seen. Accuracy: 0.7446 Error: 0.65197 Loss: 0.56577 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.22s\n",
            "797760 Examples seen. Accuracy: 0.7462 Error: 0.56387 Loss: 0.57156 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.27s\n",
            "798400 Examples seen. Accuracy: 0.7483 Error: 0.77927 Loss: 0.86586 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.26s\n",
            "799040 Examples seen. Accuracy: 0.7510 Error: 0.47181 Loss: 0.48380 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.22s\n",
            "799680 Examples seen. Accuracy: 0.7462 Error: 0.76294 Loss: 0.76654 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.20s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 20 Examples seen:800000 Validation Accuracy: 0.8077 Validation Error: 0.5409 Validation Loss: 0.5646 Total time: 69.72min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.421 Min Weight:  -0.495 Max Output:  4.172 Min Output: -5.018 TNNetConvolutionLinear 32,32,64 Times: 30.10s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  4.172 Min Output: -0.922 TNNetMaxPool 8,8,64 Times: 6.91s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.765 Min Weight:   0.713 Max Output:  4.780 Min Output: -2.367 TNNetMovingStdNormalization 8,8,64 Times: 0.15s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.247 Min Weight:  -0.239 Max Output:  9.339 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.14s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.239 Min Weight:  -0.206 Max Output:  6.290 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 5.99s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.246 Min Weight:  -0.210 Max Output:  4.148 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.05s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.208 Min Weight:  -0.199 Max Output:  2.330 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.06s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  2.330 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.02s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  2.330 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.40s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.299 Min Weight:  -0.252 Max Output:  4.613 Min Output: -7.367 TNNetFullConnectLinear 10,1,1 Times: 0.09s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.516 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Starting Testing.\n",
            "Epochs: 20 Examples seen:800000 Test Accuracy: 0.8013 Test Error: 0.5539 Test Loss: 0.5934 Total time: 70.75min\n",
            "Epoch time: 2.2958 minutes. 50 epochs: 1.9132 hours.\n",
            "Epochs: 20. Working time: 1.18 hours.\n",
            "Learning rate set to: 0.00082\n",
            "800640 Examples seen. Accuracy: 0.7448 Error: 0.56606 Loss: 0.50623 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.29s\n",
            "801280 Examples seen. Accuracy: 0.7453 Error: 0.72370 Loss: 0.81853 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "801920 Examples seen. Accuracy: 0.7459 Error: 0.57313 Loss: 0.66880 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "802560 Examples seen. Accuracy: 0.7459 Error: 0.63857 Loss: 0.60604 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.25s\n",
            "803200 Examples seen. Accuracy: 0.7475 Error: 0.61641 Loss: 0.61390 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.24s\n",
            "803840 Examples seen. Accuracy: 0.7492 Error: 0.86898 Loss: 0.98058 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.21s\n",
            "804480 Examples seen. Accuracy: 0.7520 Error: 0.62232 Loss: 0.57860 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.22s\n",
            "805120 Examples seen. Accuracy: 0.7525 Error: 0.77007 Loss: 0.91639 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.21s\n",
            "805760 Examples seen. Accuracy: 0.7515 Error: 0.67737 Loss: 0.82705 Threads: 2 Forward time: 0.74s Backward time: 0.39s Step time: 2.23s\n",
            "806400 Examples seen. Accuracy: 0.7509 Error: 0.81284 Loss: 0.75538 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.22s\n",
            "807040 Examples seen. Accuracy: 0.7486 Error: 0.61276 Loss: 0.64802 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "807680 Examples seen. Accuracy: 0.7480 Error: 0.68058 Loss: 0.72430 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.24s\n",
            "808320 Examples seen. Accuracy: 0.7502 Error: 0.65153 Loss: 0.64450 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "808960 Examples seen. Accuracy: 0.7508 Error: 0.65606 Loss: 0.71989 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.24s\n",
            "809600 Examples seen. Accuracy: 0.7550 Error: 0.62511 Loss: 0.60859 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.22s\n",
            "810240 Examples seen. Accuracy: 0.7537 Error: 0.64786 Loss: 0.67271 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.23s\n",
            "810880 Examples seen. Accuracy: 0.7511 Error: 0.67705 Loss: 0.60278 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "811520 Examples seen. Accuracy: 0.7523 Error: 0.79713 Loss: 0.78049 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "812160 Examples seen. Accuracy: 0.7558 Error: 0.59967 Loss: 0.54886 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "812800 Examples seen. Accuracy: 0.7569 Error: 0.58744 Loss: 0.64642 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.24s\n",
            "813440 Examples seen. Accuracy: 0.7575 Error: 0.67909 Loss: 0.75188 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "814080 Examples seen. Accuracy: 0.7554 Error: 0.81473 Loss: 0.84896 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "814720 Examples seen. Accuracy: 0.7544 Error: 0.73934 Loss: 0.79863 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.27s\n",
            "815360 Examples seen. Accuracy: 0.7540 Error: 0.93307 Loss: 1.13414 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.22s\n",
            "816000 Examples seen. Accuracy: 0.7537 Error: 0.60772 Loss: 0.59638 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.25s\n",
            "816640 Examples seen. Accuracy: 0.7554 Error: 0.75697 Loss: 0.76513 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "817280 Examples seen. Accuracy: 0.7552 Error: 0.55212 Loss: 0.52262 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.23s\n",
            "817920 Examples seen. Accuracy: 0.7555 Error: 0.61158 Loss: 0.72845 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.24s\n",
            "818560 Examples seen. Accuracy: 0.7573 Error: 0.49725 Loss: 0.40735 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.23s\n",
            "819200 Examples seen. Accuracy: 0.7544 Error: 0.78351 Loss: 1.09500 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.22s\n",
            "819840 Examples seen. Accuracy: 0.7531 Error: 0.64963 Loss: 0.63236 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "820480 Examples seen. Accuracy: 0.7546 Error: 0.57888 Loss: 0.58468 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "821120 Examples seen. Accuracy: 0.7551 Error: 0.54723 Loss: 0.48716 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.23s\n",
            "821760 Examples seen. Accuracy: 0.7554 Error: 0.53311 Loss: 0.54511 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "822400 Examples seen. Accuracy: 0.7543 Error: 0.60341 Loss: 0.56932 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.24s\n",
            "823040 Examples seen. Accuracy: 0.7549 Error: 0.49616 Loss: 0.51366 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "823680 Examples seen. Accuracy: 0.7560 Error: 0.62031 Loss: 0.62986 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.26s\n",
            "824320 Examples seen. Accuracy: 0.7533 Error: 0.69185 Loss: 0.68029 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "824960 Examples seen. Accuracy: 0.7543 Error: 0.70609 Loss: 0.66464 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "825600 Examples seen. Accuracy: 0.7540 Error: 0.65769 Loss: 0.82841 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.23s\n",
            "826240 Examples seen. Accuracy: 0.7518 Error: 0.63986 Loss: 0.64525 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.21s\n",
            "826880 Examples seen. Accuracy: 0.7494 Error: 0.67326 Loss: 0.58677 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.28s\n",
            "827520 Examples seen. Accuracy: 0.7511 Error: 0.52688 Loss: 0.51957 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.33s\n",
            "828160 Examples seen. Accuracy: 0.7533 Error: 0.58051 Loss: 0.56901 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.29s\n",
            "828800 Examples seen. Accuracy: 0.7556 Error: 0.63636 Loss: 0.65161 Threads: 2 Forward time: 0.72s Backward time: 0.42s Step time: 2.29s\n",
            "829440 Examples seen. Accuracy: 0.7538 Error: 0.66025 Loss: 0.85604 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.28s\n",
            "830080 Examples seen. Accuracy: 0.7551 Error: 0.79278 Loss: 1.02157 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.24s\n",
            "830720 Examples seen. Accuracy: 0.7563 Error: 0.68761 Loss: 0.75865 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "831360 Examples seen. Accuracy: 0.7571 Error: 0.65424 Loss: 0.65767 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.26s\n",
            "832000 Examples seen. Accuracy: 0.7590 Error: 0.63025 Loss: 0.66050 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.28s\n",
            "832640 Examples seen. Accuracy: 0.7593 Error: 0.61213 Loss: 0.50304 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.30s\n",
            "833280 Examples seen. Accuracy: 0.7588 Error: 0.64925 Loss: 0.70691 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.25s\n",
            "833920 Examples seen. Accuracy: 0.7607 Error: 0.50550 Loss: 0.50764 Threads: 2 Forward time: 0.65s Backward time: 0.41s Step time: 2.26s\n",
            "834560 Examples seen. Accuracy: 0.7636 Error: 0.56939 Loss: 0.61559 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.25s\n",
            "835200 Examples seen. Accuracy: 0.7640 Error: 0.68163 Loss: 0.73794 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "835840 Examples seen. Accuracy: 0.7617 Error: 0.56446 Loss: 0.49256 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.23s\n",
            "836480 Examples seen. Accuracy: 0.7610 Error: 0.45381 Loss: 0.46240 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "837120 Examples seen. Accuracy: 0.7619 Error: 0.70312 Loss: 0.67412 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.26s\n",
            "837760 Examples seen. Accuracy: 0.7603 Error: 0.77383 Loss: 0.94565 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.27s\n",
            "838400 Examples seen. Accuracy: 0.7591 Error: 0.66987 Loss: 0.74576 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.28s\n",
            "839040 Examples seen. Accuracy: 0.7629 Error: 0.61075 Loss: 0.65921 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.23s\n",
            "839680 Examples seen. Accuracy: 0.7620 Error: 0.69317 Loss: 0.61748 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.28s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 21 Examples seen:840000 Validation Accuracy: 0.8097 Validation Error: 0.5327 Validation Loss: 0.5571 Total time: 74.13min\n",
            "Epoch time: 2.3708 minutes. 50 epochs: 1.9757 hours.\n",
            "Epochs: 21. Working time: 1.24 hours.\n",
            "840640 Examples seen. Accuracy: 0.7609 Error: 0.72953 Loss: 0.84903 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.25s\n",
            "841280 Examples seen. Accuracy: 0.7612 Error: 0.61724 Loss: 0.65749 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.23s\n",
            "841920 Examples seen. Accuracy: 0.7595 Error: 0.52275 Loss: 0.54513 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "842560 Examples seen. Accuracy: 0.7601 Error: 0.56696 Loss: 0.56311 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.20s\n",
            "843200 Examples seen. Accuracy: 0.7622 Error: 0.55077 Loss: 0.56713 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.23s\n",
            "843840 Examples seen. Accuracy: 0.7624 Error: 0.64739 Loss: 0.69727 Threads: 2 Forward time: 0.65s Backward time: 0.40s Step time: 2.27s\n",
            "844480 Examples seen. Accuracy: 0.7651 Error: 0.54495 Loss: 0.52471 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.22s\n",
            "845120 Examples seen. Accuracy: 0.7658 Error: 0.65810 Loss: 0.70731 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.21s\n",
            "845760 Examples seen. Accuracy: 0.7644 Error: 0.63726 Loss: 0.75203 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.19s\n",
            "846400 Examples seen. Accuracy: 0.7652 Error: 0.63342 Loss: 0.59298 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "847040 Examples seen. Accuracy: 0.7641 Error: 0.70474 Loss: 0.75692 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.22s\n",
            "847680 Examples seen. Accuracy: 0.7647 Error: 0.63419 Loss: 0.79271 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.21s\n",
            "848320 Examples seen. Accuracy: 0.7627 Error: 0.55451 Loss: 0.55208 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.20s\n",
            "848960 Examples seen. Accuracy: 0.7630 Error: 0.67070 Loss: 0.67164 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.20s\n",
            "849600 Examples seen. Accuracy: 0.7637 Error: 0.59235 Loss: 0.64690 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.23s\n",
            "850240 Examples seen. Accuracy: 0.7632 Error: 0.60878 Loss: 0.65336 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "850880 Examples seen. Accuracy: 0.7654 Error: 0.58023 Loss: 0.57833 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.21s\n",
            "851520 Examples seen. Accuracy: 0.7643 Error: 0.65215 Loss: 0.66417 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.28s\n",
            "852160 Examples seen. Accuracy: 0.7641 Error: 0.68292 Loss: 0.74290 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.23s\n",
            "852800 Examples seen. Accuracy: 0.7626 Error: 0.66856 Loss: 0.66561 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.23s\n",
            "853440 Examples seen. Accuracy: 0.7642 Error: 0.51266 Loss: 0.45862 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.20s\n",
            "854080 Examples seen. Accuracy: 0.7679 Error: 0.42405 Loss: 0.36937 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.22s\n",
            "854720 Examples seen. Accuracy: 0.7684 Error: 0.70337 Loss: 0.78857 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.22s\n",
            "855360 Examples seen. Accuracy: 0.7680 Error: 0.55240 Loss: 0.60555 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.22s\n",
            "856000 Examples seen. Accuracy: 0.7691 Error: 0.42695 Loss: 0.40510 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.24s\n",
            "856640 Examples seen. Accuracy: 0.7694 Error: 0.57832 Loss: 0.55287 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.28s\n",
            "857280 Examples seen. Accuracy: 0.7688 Error: 0.49576 Loss: 0.53500 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.21s\n",
            "857920 Examples seen. Accuracy: 0.7704 Error: 0.58619 Loss: 0.66270 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.21s\n",
            "858560 Examples seen. Accuracy: 0.7660 Error: 0.80197 Loss: 0.89805 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.27s\n",
            "859200 Examples seen. Accuracy: 0.7656 Error: 0.53251 Loss: 0.54430 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "859840 Examples seen. Accuracy: 0.7659 Error: 0.64836 Loss: 0.68676 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.24s\n",
            "860480 Examples seen. Accuracy: 0.7652 Error: 0.73756 Loss: 0.84799 Threads: 2 Forward time: 0.65s Backward time: 0.41s Step time: 2.24s\n",
            "861120 Examples seen. Accuracy: 0.7666 Error: 0.51154 Loss: 0.49277 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.25s\n",
            "861760 Examples seen. Accuracy: 0.7685 Error: 0.68393 Loss: 0.84150 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "862400 Examples seen. Accuracy: 0.7666 Error: 0.69975 Loss: 0.71118 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "863040 Examples seen. Accuracy: 0.7633 Error: 0.70401 Loss: 0.70415 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.24s\n",
            "863680 Examples seen. Accuracy: 0.7626 Error: 0.60714 Loss: 0.61289 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.22s\n",
            "864320 Examples seen. Accuracy: 0.7633 Error: 0.53959 Loss: 0.51367 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.25s\n",
            "864960 Examples seen. Accuracy: 0.7659 Error: 0.50350 Loss: 0.42101 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.24s\n",
            "865600 Examples seen. Accuracy: 0.7650 Error: 0.53901 Loss: 0.59758 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.28s\n",
            "866240 Examples seen. Accuracy: 0.7625 Error: 0.58498 Loss: 0.60520 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.25s\n",
            "866880 Examples seen. Accuracy: 0.7600 Error: 0.62461 Loss: 0.67415 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.22s\n",
            "867520 Examples seen. Accuracy: 0.7598 Error: 0.65988 Loss: 0.70631 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.28s\n",
            "868160 Examples seen. Accuracy: 0.7582 Error: 0.66637 Loss: 0.70468 Threads: 2 Forward time: 0.65s Backward time: 0.40s Step time: 2.25s\n",
            "868800 Examples seen. Accuracy: 0.7590 Error: 0.46321 Loss: 0.39767 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "869440 Examples seen. Accuracy: 0.7602 Error: 0.58933 Loss: 0.70036 Threads: 2 Forward time: 0.68s Backward time: 0.48s Step time: 2.28s\n",
            "870080 Examples seen. Accuracy: 0.7578 Error: 0.78121 Loss: 0.77866 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.29s\n",
            "870720 Examples seen. Accuracy: 0.7576 Error: 0.71789 Loss: 0.77415 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.23s\n",
            "871360 Examples seen. Accuracy: 0.7593 Error: 0.62096 Loss: 0.62593 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "872000 Examples seen. Accuracy: 0.7599 Error: 0.60113 Loss: 0.58314 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.22s\n",
            "872640 Examples seen. Accuracy: 0.7619 Error: 0.43913 Loss: 0.46621 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.21s\n",
            "873280 Examples seen. Accuracy: 0.7641 Error: 0.56613 Loss: 0.55002 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.23s\n",
            "873920 Examples seen. Accuracy: 0.7632 Error: 0.69879 Loss: 0.73606 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.27s\n",
            "874560 Examples seen. Accuracy: 0.7616 Error: 0.70013 Loss: 0.71432 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "875200 Examples seen. Accuracy: 0.7610 Error: 0.63077 Loss: 0.67407 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.26s\n",
            "875840 Examples seen. Accuracy: 0.7606 Error: 0.64920 Loss: 0.66473 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.22s\n",
            "876480 Examples seen. Accuracy: 0.7618 Error: 0.41814 Loss: 0.36967 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "877120 Examples seen. Accuracy: 0.7637 Error: 0.58875 Loss: 0.60159 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.21s\n",
            "877760 Examples seen. Accuracy: 0.7614 Error: 0.69495 Loss: 0.73337 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.21s\n",
            "878400 Examples seen. Accuracy: 0.7621 Error: 0.60607 Loss: 0.55744 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.24s\n",
            "879040 Examples seen. Accuracy: 0.7611 Error: 0.71082 Loss: 0.75437 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.26s\n",
            "879680 Examples seen. Accuracy: 0.7615 Error: 0.72526 Loss: 0.85939 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.24s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 22 Examples seen:880000 Validation Accuracy: 0.8126 Validation Error: 0.5260 Validation Loss: 0.5505 Total time: 77.50min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.441 Min Weight:  -0.510 Max Output:  4.299 Min Output: -5.128 TNNetConvolutionLinear 32,32,64 Times: 30.10s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  4.299 Min Output: -0.959 TNNetMaxPool 8,8,64 Times: 6.76s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.781 Min Weight:   0.729 Max Output:  4.828 Min Output: -2.386 TNNetMovingStdNormalization 8,8,64 Times: 0.16s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.255 Min Weight:  -0.251 Max Output:  9.461 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.15s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.256 Min Weight:  -0.214 Max Output:  7.115 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.04s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.248 Min Weight:  -0.210 Max Output:  4.378 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 5.96s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.221 Min Weight:  -0.208 Max Output:  2.159 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.28s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  2.159 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.02s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  2.159 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.42s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.313 Min Weight:  -0.260 Max Output:  4.730 Min Output: -7.825 TNNetFullConnectLinear 10,1,1 Times: 0.10s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.516 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Epoch time: 2.3354 minutes. 50 epochs: 1.9462 hours.\n",
            "Epochs: 22. Working time: 1.29 hours.\n",
            "880640 Examples seen. Accuracy: 0.7616 Error: 0.70495 Loss: 0.71932 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.22s\n",
            "881280 Examples seen. Accuracy: 0.7627 Error: 0.58435 Loss: 0.59232 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.21s\n",
            "881920 Examples seen. Accuracy: 0.7646 Error: 0.63736 Loss: 0.61695 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.24s\n",
            "882560 Examples seen. Accuracy: 0.7666 Error: 0.69517 Loss: 0.82518 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.30s\n",
            "883200 Examples seen. Accuracy: 0.7698 Error: 0.52459 Loss: 0.50734 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.25s\n",
            "883840 Examples seen. Accuracy: 0.7706 Error: 0.58612 Loss: 0.73621 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.25s\n",
            "884480 Examples seen. Accuracy: 0.7688 Error: 0.62014 Loss: 0.61913 Threads: 2 Forward time: 0.72s Backward time: 0.40s Step time: 2.25s\n",
            "885120 Examples seen. Accuracy: 0.7668 Error: 0.83532 Loss: 0.90624 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.25s\n",
            "885760 Examples seen. Accuracy: 0.7693 Error: 0.47510 Loss: 0.47659 Threads: 2 Forward time: 0.65s Backward time: 0.41s Step time: 2.23s\n",
            "886400 Examples seen. Accuracy: 0.7681 Error: 0.64918 Loss: 0.67379 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.23s\n",
            "887040 Examples seen. Accuracy: 0.7677 Error: 0.70544 Loss: 0.72988 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "887680 Examples seen. Accuracy: 0.7676 Error: 0.63556 Loss: 0.62112 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.26s\n",
            "888320 Examples seen. Accuracy: 0.7686 Error: 0.55302 Loss: 0.61195 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "888960 Examples seen. Accuracy: 0.7734 Error: 0.49023 Loss: 0.48141 Threads: 2 Forward time: 0.65s Backward time: 0.41s Step time: 2.21s\n",
            "889600 Examples seen. Accuracy: 0.7726 Error: 0.59947 Loss: 0.57789 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "890240 Examples seen. Accuracy: 0.7712 Error: 0.57190 Loss: 0.65621 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.23s\n",
            "890880 Examples seen. Accuracy: 0.7698 Error: 0.77545 Loss: 0.84368 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.22s\n",
            "891520 Examples seen. Accuracy: 0.7688 Error: 0.77536 Loss: 0.80531 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.22s\n",
            "892160 Examples seen. Accuracy: 0.7683 Error: 0.75775 Loss: 0.69213 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.22s\n",
            "892800 Examples seen. Accuracy: 0.7686 Error: 0.61012 Loss: 0.61801 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.22s\n",
            "893440 Examples seen. Accuracy: 0.7683 Error: 0.65555 Loss: 0.69638 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "894080 Examples seen. Accuracy: 0.7677 Error: 0.68020 Loss: 0.74392 Threads: 2 Forward time: 0.65s Backward time: 0.40s Step time: 2.23s\n",
            "894720 Examples seen. Accuracy: 0.7677 Error: 0.56300 Loss: 0.54726 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.22s\n",
            "895360 Examples seen. Accuracy: 0.7655 Error: 0.66284 Loss: 0.71666 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.28s\n",
            "896000 Examples seen. Accuracy: 0.7666 Error: 0.59861 Loss: 0.65441 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.27s\n",
            "896640 Examples seen. Accuracy: 0.7691 Error: 0.60854 Loss: 0.65854 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.21s\n",
            "897280 Examples seen. Accuracy: 0.7717 Error: 0.55297 Loss: 0.65215 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "897920 Examples seen. Accuracy: 0.7705 Error: 0.61866 Loss: 0.55535 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.20s\n",
            "898560 Examples seen. Accuracy: 0.7709 Error: 0.62805 Loss: 0.80791 Threads: 2 Forward time: 0.72s Backward time: 0.43s Step time: 2.23s\n",
            "899200 Examples seen. Accuracy: 0.7720 Error: 0.52441 Loss: 0.54705 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.21s\n",
            "899840 Examples seen. Accuracy: 0.7671 Error: 0.64295 Loss: 0.69646 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.21s\n",
            "900480 Examples seen. Accuracy: 0.7668 Error: 0.70933 Loss: 0.69101 Threads: 2 Forward time: 0.66s Backward time: 0.37s Step time: 2.21s\n",
            "901120 Examples seen. Accuracy: 0.7660 Error: 0.54374 Loss: 0.55234 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.21s\n",
            "901760 Examples seen. Accuracy: 0.7655 Error: 0.67515 Loss: 0.88840 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.29s\n",
            "902400 Examples seen. Accuracy: 0.7678 Error: 0.61994 Loss: 0.62292 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.22s\n",
            "903040 Examples seen. Accuracy: 0.7664 Error: 0.59015 Loss: 0.57289 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.21s\n",
            "903680 Examples seen. Accuracy: 0.7645 Error: 0.47992 Loss: 0.53261 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.19s\n",
            "904320 Examples seen. Accuracy: 0.7636 Error: 0.68922 Loss: 0.68339 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "904960 Examples seen. Accuracy: 0.7646 Error: 0.63338 Loss: 0.75119 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.25s\n",
            "905600 Examples seen. Accuracy: 0.7651 Error: 0.66149 Loss: 0.73324 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.18s\n",
            "906240 Examples seen. Accuracy: 0.7634 Error: 0.59867 Loss: 0.57170 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "906880 Examples seen. Accuracy: 0.7621 Error: 0.62026 Loss: 0.66378 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.19s\n",
            "907520 Examples seen. Accuracy: 0.7601 Error: 0.70996 Loss: 0.74844 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.18s\n",
            "908160 Examples seen. Accuracy: 0.7617 Error: 0.59622 Loss: 0.68635 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.20s\n",
            "908800 Examples seen. Accuracy: 0.7638 Error: 0.56440 Loss: 0.56130 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.22s\n",
            "909440 Examples seen. Accuracy: 0.7652 Error: 0.70686 Loss: 0.86884 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.21s\n",
            "910080 Examples seen. Accuracy: 0.7644 Error: 0.64908 Loss: 0.68787 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.25s\n",
            "910720 Examples seen. Accuracy: 0.7647 Error: 0.65176 Loss: 0.61152 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.27s\n",
            "911360 Examples seen. Accuracy: 0.7646 Error: 0.69344 Loss: 0.64317 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.29s\n",
            "912000 Examples seen. Accuracy: 0.7650 Error: 0.37225 Loss: 0.37295 Threads: 2 Forward time: 0.72s Backward time: 0.44s Step time: 2.30s\n",
            "912640 Examples seen. Accuracy: 0.7651 Error: 0.58135 Loss: 0.66954 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.31s\n",
            "913280 Examples seen. Accuracy: 0.7654 Error: 0.70493 Loss: 0.76048 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.24s\n",
            "913920 Examples seen. Accuracy: 0.7657 Error: 0.67307 Loss: 0.69807 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.24s\n",
            "914560 Examples seen. Accuracy: 0.7661 Error: 0.66885 Loss: 0.66073 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.26s\n",
            "915200 Examples seen. Accuracy: 0.7654 Error: 0.47722 Loss: 0.42466 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.26s\n",
            "915840 Examples seen. Accuracy: 0.7657 Error: 0.62885 Loss: 0.61189 Threads: 2 Forward time: 0.65s Backward time: 0.42s Step time: 2.26s\n",
            "916480 Examples seen. Accuracy: 0.7660 Error: 0.54882 Loss: 0.65040 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.27s\n",
            "917120 Examples seen. Accuracy: 0.7649 Error: 0.60900 Loss: 0.63533 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.31s\n",
            "917760 Examples seen. Accuracy: 0.7646 Error: 0.59868 Loss: 0.59406 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.28s\n",
            "918400 Examples seen. Accuracy: 0.7659 Error: 0.67289 Loss: 0.87526 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.28s\n",
            "919040 Examples seen. Accuracy: 0.7654 Error: 0.61307 Loss: 0.59825 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.27s\n",
            "919680 Examples seen. Accuracy: 0.7633 Error: 0.65447 Loss: 0.66826 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.27s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 23 Examples seen:920000 Validation Accuracy: 0.8147 Validation Error: 0.5183 Validation Loss: 0.5426 Total time: 80.88min\n",
            "Epoch time: 2.3604 minutes. 50 epochs: 1.9670 hours.\n",
            "Epochs: 23. Working time: 1.35 hours.\n",
            "920640 Examples seen. Accuracy: 0.7626 Error: 0.78481 Loss: 0.78438 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.21s\n",
            "921280 Examples seen. Accuracy: 0.7612 Error: 0.72489 Loss: 0.77208 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.22s\n",
            "921920 Examples seen. Accuracy: 0.7588 Error: 0.58095 Loss: 0.60434 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.23s\n",
            "922560 Examples seen. Accuracy: 0.7584 Error: 0.63413 Loss: 0.59732 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.23s\n",
            "923200 Examples seen. Accuracy: 0.7612 Error: 0.49784 Loss: 0.38789 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.23s\n",
            "923840 Examples seen. Accuracy: 0.7611 Error: 0.70160 Loss: 0.72378 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "924480 Examples seen. Accuracy: 0.7591 Error: 0.75117 Loss: 0.80583 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "925120 Examples seen. Accuracy: 0.7617 Error: 0.50915 Loss: 0.49582 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.22s\n",
            "925760 Examples seen. Accuracy: 0.7642 Error: 0.48395 Loss: 0.47056 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.21s\n",
            "926400 Examples seen. Accuracy: 0.7638 Error: 0.67441 Loss: 0.66033 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.25s\n",
            "927040 Examples seen. Accuracy: 0.7636 Error: 0.66216 Loss: 0.98904 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.21s\n",
            "927680 Examples seen. Accuracy: 0.7623 Error: 0.57194 Loss: 0.61443 Threads: 2 Forward time: 0.65s Backward time: 0.40s Step time: 2.20s\n",
            "928320 Examples seen. Accuracy: 0.7651 Error: 0.73074 Loss: 0.82002 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.20s\n",
            "928960 Examples seen. Accuracy: 0.7663 Error: 0.57718 Loss: 0.68986 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.21s\n",
            "929600 Examples seen. Accuracy: 0.7704 Error: 0.59988 Loss: 0.67087 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.21s\n",
            "930240 Examples seen. Accuracy: 0.7699 Error: 0.62665 Loss: 0.75354 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.23s\n",
            "930880 Examples seen. Accuracy: 0.7684 Error: 0.61280 Loss: 0.74570 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.22s\n",
            "931520 Examples seen. Accuracy: 0.7675 Error: 0.78237 Loss: 0.87719 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.20s\n",
            "932160 Examples seen. Accuracy: 0.7659 Error: 0.65755 Loss: 0.69774 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.21s\n",
            "932800 Examples seen. Accuracy: 0.7632 Error: 0.71988 Loss: 0.76520 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.22s\n",
            "933440 Examples seen. Accuracy: 0.7617 Error: 0.74322 Loss: 0.80149 Threads: 2 Forward time: 0.65s Backward time: 0.40s Step time: 2.20s\n",
            "934080 Examples seen. Accuracy: 0.7601 Error: 0.71708 Loss: 0.80695 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.19s\n",
            "934720 Examples seen. Accuracy: 0.7627 Error: 0.81305 Loss: 0.76823 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.20s\n",
            "935360 Examples seen. Accuracy: 0.7627 Error: 0.63169 Loss: 0.76535 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.23s\n",
            "936000 Examples seen. Accuracy: 0.7626 Error: 0.59959 Loss: 0.64671 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.19s\n",
            "936640 Examples seen. Accuracy: 0.7649 Error: 0.70246 Loss: 0.92566 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.23s\n",
            "937280 Examples seen. Accuracy: 0.7644 Error: 0.64844 Loss: 0.76428 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.20s\n",
            "937920 Examples seen. Accuracy: 0.7641 Error: 0.74687 Loss: 0.80044 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.21s\n",
            "938560 Examples seen. Accuracy: 0.7627 Error: 0.49691 Loss: 0.50920 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.20s\n",
            "939200 Examples seen. Accuracy: 0.7643 Error: 0.57989 Loss: 0.55219 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.21s\n",
            "939840 Examples seen. Accuracy: 0.7631 Error: 0.57539 Loss: 0.58670 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.20s\n",
            "940480 Examples seen. Accuracy: 0.7638 Error: 0.66974 Loss: 0.65169 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "941120 Examples seen. Accuracy: 0.7654 Error: 0.55228 Loss: 0.52621 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.19s\n",
            "941760 Examples seen. Accuracy: 0.7616 Error: 0.60407 Loss: 0.73886 Threads: 2 Forward time: 0.65s Backward time: 0.40s Step time: 2.19s\n",
            "942400 Examples seen. Accuracy: 0.7607 Error: 0.53183 Loss: 0.52798 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.18s\n",
            "943040 Examples seen. Accuracy: 0.7606 Error: 0.50802 Loss: 0.48818 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "943680 Examples seen. Accuracy: 0.7625 Error: 0.56380 Loss: 0.49372 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.21s\n",
            "944320 Examples seen. Accuracy: 0.7629 Error: 0.56329 Loss: 0.59625 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.23s\n",
            "944960 Examples seen. Accuracy: 0.7634 Error: 0.59402 Loss: 0.53200 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.23s\n",
            "945600 Examples seen. Accuracy: 0.7626 Error: 0.66829 Loss: 0.93153 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.22s\n",
            "946240 Examples seen. Accuracy: 0.7628 Error: 0.67695 Loss: 0.79435 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.25s\n",
            "946880 Examples seen. Accuracy: 0.7625 Error: 0.59058 Loss: 0.63089 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.24s\n",
            "947520 Examples seen. Accuracy: 0.7593 Error: 0.68078 Loss: 0.83672 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.25s\n",
            "948160 Examples seen. Accuracy: 0.7591 Error: 0.71990 Loss: 0.88984 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.25s\n",
            "948800 Examples seen. Accuracy: 0.7603 Error: 0.62395 Loss: 0.65760 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.29s\n",
            "949440 Examples seen. Accuracy: 0.7612 Error: 0.60551 Loss: 0.59695 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.29s\n",
            "950080 Examples seen. Accuracy: 0.7627 Error: 0.57479 Loss: 0.48827 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.26s\n",
            "950720 Examples seen. Accuracy: 0.7664 Error: 0.62581 Loss: 0.58703 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.22s\n",
            "951360 Examples seen. Accuracy: 0.7671 Error: 0.68239 Loss: 0.85353 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.20s\n",
            "952000 Examples seen. Accuracy: 0.7650 Error: 0.63266 Loss: 0.69446 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.21s\n",
            "952640 Examples seen. Accuracy: 0.7645 Error: 0.58067 Loss: 0.57198 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.22s\n",
            "953280 Examples seen. Accuracy: 0.7659 Error: 0.61572 Loss: 0.65453 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.20s\n",
            "953920 Examples seen. Accuracy: 0.7650 Error: 0.70056 Loss: 0.76925 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.20s\n",
            "954560 Examples seen. Accuracy: 0.7624 Error: 0.75395 Loss: 0.83920 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.23s\n",
            "955200 Examples seen. Accuracy: 0.7618 Error: 0.67570 Loss: 0.60460 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "955840 Examples seen. Accuracy: 0.7629 Error: 0.60492 Loss: 0.68417 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.21s\n",
            "956480 Examples seen. Accuracy: 0.7619 Error: 0.62038 Loss: 0.68500 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.20s\n",
            "957120 Examples seen. Accuracy: 0.7623 Error: 0.53159 Loss: 0.57759 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.19s\n",
            "957760 Examples seen. Accuracy: 0.7647 Error: 0.59932 Loss: 0.68073 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.22s\n",
            "958400 Examples seen. Accuracy: 0.7653 Error: 0.61748 Loss: 0.67631 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.22s\n",
            "959040 Examples seen. Accuracy: 0.7668 Error: 0.61338 Loss: 0.63171 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "959680 Examples seen. Accuracy: 0.7666 Error: 0.71023 Loss: 0.64759 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.21s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 24 Examples seen:960000 Validation Accuracy: 0.8167 Validation Error: 0.5124 Validation Loss: 0.5361 Total time: 84.24min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.460 Min Weight:  -0.523 Max Output:  4.429 Min Output: -5.275 TNNetConvolutionLinear 32,32,64 Times: 30.14s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  4.429 Min Output: -1.008 TNNetMaxPool 8,8,64 Times: 6.90s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.793 Min Weight:   0.744 Max Output:  4.890 Min Output: -2.421 TNNetMovingStdNormalization 8,8,64 Times: 0.15s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.260 Min Weight:  -0.261 Max Output:  9.584 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.22s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.266 Min Weight:  -0.227 Max Output:  7.572 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 5.97s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.251 Min Weight:  -0.213 Max Output:  4.910 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.12s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.224 Min Weight:  -0.214 Max Output:  2.148 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.08s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  2.148 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.03s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  2.148 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.39s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.327 Min Weight:  -0.266 Max Output:  4.651 Min Output: -7.718 TNNetFullConnectLinear 10,1,1 Times: 0.11s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.598 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Epoch time: 2.3042 minutes. 50 epochs: 1.9201 hours.\n",
            "Epochs: 24. Working time: 1.40 hours.\n",
            "960640 Examples seen. Accuracy: 0.7657 Error: 0.70273 Loss: 0.80831 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.28s\n",
            "961280 Examples seen. Accuracy: 0.7667 Error: 0.60021 Loss: 0.61620 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.24s\n",
            "961920 Examples seen. Accuracy: 0.7683 Error: 0.64095 Loss: 0.56290 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.24s\n",
            "962560 Examples seen. Accuracy: 0.7727 Error: 0.56868 Loss: 0.57817 Threads: 2 Forward time: 0.70s Backward time: 0.46s Step time: 2.31s\n",
            "963200 Examples seen. Accuracy: 0.7745 Error: 0.51835 Loss: 0.49585 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.32s\n",
            "963840 Examples seen. Accuracy: 0.7743 Error: 0.59188 Loss: 0.58959 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.26s\n",
            "964480 Examples seen. Accuracy: 0.7725 Error: 0.58623 Loss: 0.59809 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.26s\n",
            "965120 Examples seen. Accuracy: 0.7712 Error: 0.68913 Loss: 0.72315 Threads: 2 Forward time: 0.74s Backward time: 0.38s Step time: 2.30s\n",
            "965760 Examples seen. Accuracy: 0.7700 Error: 0.61661 Loss: 0.57838 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.25s\n",
            "966400 Examples seen. Accuracy: 0.7672 Error: 0.63911 Loss: 0.66763 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.23s\n",
            "967040 Examples seen. Accuracy: 0.7685 Error: 0.57004 Loss: 0.49748 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.23s\n",
            "967680 Examples seen. Accuracy: 0.7678 Error: 0.72484 Loss: 0.78594 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "968320 Examples seen. Accuracy: 0.7701 Error: 0.56807 Loss: 0.68791 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.23s\n",
            "968960 Examples seen. Accuracy: 0.7691 Error: 0.75824 Loss: 0.82020 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.32s\n",
            "969600 Examples seen. Accuracy: 0.7684 Error: 0.69889 Loss: 0.73781 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.28s\n",
            "970240 Examples seen. Accuracy: 0.7676 Error: 0.69246 Loss: 0.94826 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.28s\n",
            "970880 Examples seen. Accuracy: 0.7682 Error: 0.58095 Loss: 0.57332 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.29s\n",
            "971520 Examples seen. Accuracy: 0.7706 Error: 0.64592 Loss: 0.65757 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.26s\n",
            "972160 Examples seen. Accuracy: 0.7671 Error: 0.66143 Loss: 0.75760 Threads: 2 Forward time: 0.72s Backward time: 0.43s Step time: 2.31s\n",
            "972800 Examples seen. Accuracy: 0.7697 Error: 0.51329 Loss: 0.44416 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.29s\n",
            "973440 Examples seen. Accuracy: 0.7685 Error: 0.69100 Loss: 0.74069 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.29s\n",
            "974080 Examples seen. Accuracy: 0.7700 Error: 0.69336 Loss: 0.73041 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.26s\n",
            "974720 Examples seen. Accuracy: 0.7714 Error: 0.47448 Loss: 0.49251 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "975360 Examples seen. Accuracy: 0.7723 Error: 0.57293 Loss: 0.64274 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "976000 Examples seen. Accuracy: 0.7713 Error: 0.71009 Loss: 0.77041 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.24s\n",
            "976640 Examples seen. Accuracy: 0.7694 Error: 0.71366 Loss: 0.67575 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.25s\n",
            "977280 Examples seen. Accuracy: 0.7708 Error: 0.53794 Loss: 0.54916 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.28s\n",
            "977920 Examples seen. Accuracy: 0.7695 Error: 0.64693 Loss: 0.66017 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.27s\n",
            "978560 Examples seen. Accuracy: 0.7718 Error: 0.43777 Loss: 0.36920 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.25s\n",
            "979200 Examples seen. Accuracy: 0.7714 Error: 0.66631 Loss: 0.68272 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.27s\n",
            "979840 Examples seen. Accuracy: 0.7718 Error: 0.58005 Loss: 0.49689 Threads: 2 Forward time: 0.72s Backward time: 0.42s Step time: 2.32s\n",
            "980480 Examples seen. Accuracy: 0.7713 Error: 0.65780 Loss: 0.79107 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.28s\n",
            "981120 Examples seen. Accuracy: 0.7702 Error: 0.64567 Loss: 0.58171 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.27s\n",
            "981760 Examples seen. Accuracy: 0.7682 Error: 0.62929 Loss: 0.62051 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.29s\n",
            "982400 Examples seen. Accuracy: 0.7653 Error: 0.70469 Loss: 0.69541 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.28s\n",
            "983040 Examples seen. Accuracy: 0.7682 Error: 0.52602 Loss: 0.54752 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.25s\n",
            "983680 Examples seen. Accuracy: 0.7684 Error: 0.62584 Loss: 0.60070 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "984320 Examples seen. Accuracy: 0.7680 Error: 0.56376 Loss: 0.58440 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "984960 Examples seen. Accuracy: 0.7683 Error: 0.56790 Loss: 0.62742 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.27s\n",
            "985600 Examples seen. Accuracy: 0.7720 Error: 0.54144 Loss: 0.51544 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.29s\n",
            "986240 Examples seen. Accuracy: 0.7700 Error: 0.62772 Loss: 0.58497 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.29s\n",
            "986880 Examples seen. Accuracy: 0.7704 Error: 0.65513 Loss: 0.65407 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.29s\n",
            "987520 Examples seen. Accuracy: 0.7701 Error: 0.74454 Loss: 0.73883 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "988160 Examples seen. Accuracy: 0.7677 Error: 0.57897 Loss: 0.58275 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.25s\n",
            "988800 Examples seen. Accuracy: 0.7646 Error: 0.64738 Loss: 0.74001 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "989440 Examples seen. Accuracy: 0.7646 Error: 0.52954 Loss: 0.51862 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "990080 Examples seen. Accuracy: 0.7664 Error: 0.65639 Loss: 0.74434 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.27s\n",
            "990720 Examples seen. Accuracy: 0.7667 Error: 0.69605 Loss: 0.67447 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "991360 Examples seen. Accuracy: 0.7662 Error: 0.43483 Loss: 0.40303 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.30s\n",
            "992000 Examples seen. Accuracy: 0.7678 Error: 0.54224 Loss: 0.65796 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.28s\n",
            "992640 Examples seen. Accuracy: 0.7669 Error: 0.54514 Loss: 0.45177 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.27s\n",
            "993280 Examples seen. Accuracy: 0.7679 Error: 0.48085 Loss: 0.41279 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.28s\n",
            "993920 Examples seen. Accuracy: 0.7693 Error: 0.60838 Loss: 0.58196 Threads: 2 Forward time: 0.72s Backward time: 0.44s Step time: 2.30s\n",
            "994560 Examples seen. Accuracy: 0.7683 Error: 0.65785 Loss: 0.67545 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.28s\n",
            "995200 Examples seen. Accuracy: 0.7667 Error: 0.71601 Loss: 0.95200 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.28s\n",
            "995840 Examples seen. Accuracy: 0.7659 Error: 0.46075 Loss: 0.53384 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "996480 Examples seen. Accuracy: 0.7647 Error: 0.64373 Loss: 0.66603 Threads: 2 Forward time: 0.72s Backward time: 0.40s Step time: 2.27s\n",
            "997120 Examples seen. Accuracy: 0.7670 Error: 0.47987 Loss: 0.41500 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.25s\n",
            "997760 Examples seen. Accuracy: 0.7661 Error: 0.65146 Loss: 0.86164 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.22s\n",
            "998400 Examples seen. Accuracy: 0.7668 Error: 0.71417 Loss: 0.77347 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.22s\n",
            "999040 Examples seen. Accuracy: 0.7677 Error: 0.68442 Loss: 0.73742 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "999680 Examples seen. Accuracy: 0.7672 Error: 0.65885 Loss: 0.72615 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.21s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 25 Examples seen:1000000 Validation Accuracy: 0.8196 Validation Error: 0.5070 Validation Loss: 0.5317 Total time: 87.70min\n",
            "Epoch time: 2.3000 minutes. 50 epochs: 1.9167 hours.\n",
            "Epochs: 25. Working time: 1.46 hours.\n",
            "1000640 Examples seen. Accuracy: 0.7688 Error: 0.50471 Loss: 0.54118 Threads: 2 Forward time: 0.75s Backward time: 0.44s Step time: 2.42s\n",
            "1001280 Examples seen. Accuracy: 0.7693 Error: 0.56875 Loss: 0.67354 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.38s\n",
            "1001920 Examples seen. Accuracy: 0.7695 Error: 0.64580 Loss: 0.75707 Threads: 2 Forward time: 0.72s Backward time: 0.39s Step time: 2.39s\n",
            "1002560 Examples seen. Accuracy: 0.7703 Error: 0.58331 Loss: 0.63422 Threads: 2 Forward time: 0.81s Backward time: 0.52s Step time: 2.68s\n",
            "1003200 Examples seen. Accuracy: 0.7725 Error: 0.58280 Loss: 0.57344 Threads: 2 Forward time: 0.70s Backward time: 0.44s Step time: 2.56s\n",
            "1003840 Examples seen. Accuracy: 0.7717 Error: 0.61046 Loss: 0.55886 Threads: 2 Forward time: 0.75s Backward time: 0.48s Step time: 2.46s\n",
            "1004480 Examples seen. Accuracy: 0.7694 Error: 0.67385 Loss: 0.69954 Threads: 2 Forward time: 0.77s Backward time: 0.46s Step time: 2.55s\n",
            "1005120 Examples seen. Accuracy: 0.7710 Error: 0.68882 Loss: 0.77525 Threads: 2 Forward time: 0.70s Backward time: 0.44s Step time: 2.48s\n",
            "1005760 Examples seen. Accuracy: 0.7730 Error: 0.75051 Loss: 0.71808 Threads: 2 Forward time: 0.75s Backward time: 0.48s Step time: 2.49s\n",
            "1006400 Examples seen. Accuracy: 0.7751 Error: 0.63333 Loss: 0.57884 Threads: 2 Forward time: 0.73s Backward time: 0.43s Step time: 2.38s\n",
            "1007040 Examples seen. Accuracy: 0.7750 Error: 0.62630 Loss: 0.63373 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.32s\n",
            "1007680 Examples seen. Accuracy: 0.7755 Error: 0.56292 Loss: 0.53358 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.28s\n",
            "1008320 Examples seen. Accuracy: 0.7763 Error: 0.56997 Loss: 0.66576 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.29s\n",
            "1008960 Examples seen. Accuracy: 0.7761 Error: 0.65659 Loss: 0.65463 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.36s\n",
            "1009600 Examples seen. Accuracy: 0.7736 Error: 0.86289 Loss: 1.00246 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.29s\n",
            "1010240 Examples seen. Accuracy: 0.7730 Error: 0.79183 Loss: 0.89563 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.28s\n",
            "1010880 Examples seen. Accuracy: 0.7741 Error: 0.62224 Loss: 0.60849 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.29s\n",
            "1011520 Examples seen. Accuracy: 0.7764 Error: 0.43606 Loss: 0.39141 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.30s\n",
            "1012160 Examples seen. Accuracy: 0.7775 Error: 0.52585 Loss: 0.62578 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.29s\n",
            "1012800 Examples seen. Accuracy: 0.7778 Error: 0.47595 Loss: 0.52312 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.26s\n",
            "1013440 Examples seen. Accuracy: 0.7758 Error: 0.53799 Loss: 0.52272 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.28s\n",
            "1014080 Examples seen. Accuracy: 0.7744 Error: 0.70497 Loss: 0.73876 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.31s\n",
            "1014720 Examples seen. Accuracy: 0.7720 Error: 0.60608 Loss: 0.60127 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.30s\n",
            "1015360 Examples seen. Accuracy: 0.7738 Error: 0.59289 Loss: 0.57069 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.28s\n",
            "1016000 Examples seen. Accuracy: 0.7765 Error: 0.65931 Loss: 0.67396 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.29s\n",
            "1016640 Examples seen. Accuracy: 0.7748 Error: 0.52917 Loss: 0.52974 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.27s\n",
            "1017280 Examples seen. Accuracy: 0.7726 Error: 0.57895 Loss: 0.66118 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.33s\n",
            "1017920 Examples seen. Accuracy: 0.7746 Error: 0.59218 Loss: 0.53582 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.31s\n",
            "1018560 Examples seen. Accuracy: 0.7740 Error: 0.65360 Loss: 0.79880 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.27s\n",
            "1019200 Examples seen. Accuracy: 0.7732 Error: 0.74896 Loss: 0.77446 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.26s\n",
            "1019840 Examples seen. Accuracy: 0.7746 Error: 0.63692 Loss: 0.66329 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.33s\n",
            "1020480 Examples seen. Accuracy: 0.7733 Error: 0.75573 Loss: 0.84755 Threads: 2 Forward time: 0.69s Backward time: 0.37s Step time: 2.27s\n",
            "1021120 Examples seen. Accuracy: 0.7743 Error: 0.62556 Loss: 0.74506 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "1021760 Examples seen. Accuracy: 0.7755 Error: 0.61443 Loss: 0.62344 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.23s\n",
            "1022400 Examples seen. Accuracy: 0.7758 Error: 0.64881 Loss: 0.61407 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.27s\n",
            "1023040 Examples seen. Accuracy: 0.7751 Error: 0.65149 Loss: 0.60618 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.32s\n",
            "1023680 Examples seen. Accuracy: 0.7753 Error: 0.51809 Loss: 0.50181 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.36s\n",
            "1024320 Examples seen. Accuracy: 0.7748 Error: 0.56783 Loss: 0.65252 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.27s\n",
            "1024960 Examples seen. Accuracy: 0.7733 Error: 0.60274 Loss: 0.65634 Threads: 2 Forward time: 0.72s Backward time: 0.41s Step time: 2.29s\n",
            "1025600 Examples seen. Accuracy: 0.7739 Error: 0.39914 Loss: 0.39679 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.27s\n",
            "1026240 Examples seen. Accuracy: 0.7739 Error: 0.58899 Loss: 0.56146 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.25s\n",
            "1026880 Examples seen. Accuracy: 0.7740 Error: 0.55076 Loss: 0.48777 Threads: 2 Forward time: 0.72s Backward time: 0.39s Step time: 2.27s\n",
            "1027520 Examples seen. Accuracy: 0.7747 Error: 0.47445 Loss: 0.40390 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.32s\n",
            "1028160 Examples seen. Accuracy: 0.7746 Error: 0.59906 Loss: 0.68196 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.28s\n",
            "1028800 Examples seen. Accuracy: 0.7756 Error: 0.69434 Loss: 0.70890 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.30s\n",
            "1029440 Examples seen. Accuracy: 0.7759 Error: 0.56232 Loss: 0.52135 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.30s\n",
            "1030080 Examples seen. Accuracy: 0.7753 Error: 0.53703 Loss: 0.63422 Threads: 2 Forward time: 0.72s Backward time: 0.39s Step time: 2.28s\n",
            "1030720 Examples seen. Accuracy: 0.7712 Error: 0.71050 Loss: 0.68311 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1031360 Examples seen. Accuracy: 0.7702 Error: 0.50845 Loss: 0.49508 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.25s\n",
            "1032000 Examples seen. Accuracy: 0.7719 Error: 0.57129 Loss: 0.54442 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.32s\n",
            "1032640 Examples seen. Accuracy: 0.7731 Error: 0.51420 Loss: 0.58054 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.27s\n",
            "1033280 Examples seen. Accuracy: 0.7716 Error: 0.65478 Loss: 0.70321 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.27s\n",
            "1033920 Examples seen. Accuracy: 0.7732 Error: 0.64772 Loss: 0.71913 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.29s\n",
            "1034560 Examples seen. Accuracy: 0.7710 Error: 0.64653 Loss: 0.81703 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1035200 Examples seen. Accuracy: 0.7697 Error: 0.57000 Loss: 0.57075 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.26s\n",
            "1035840 Examples seen. Accuracy: 0.7712 Error: 0.51778 Loss: 0.54978 Threads: 2 Forward time: 0.71s Backward time: 0.44s Step time: 2.28s\n",
            "1036480 Examples seen. Accuracy: 0.7691 Error: 0.60744 Loss: 0.58942 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.27s\n",
            "1037120 Examples seen. Accuracy: 0.7685 Error: 0.61172 Loss: 0.70803 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.29s\n",
            "1037760 Examples seen. Accuracy: 0.7716 Error: 0.71120 Loss: 0.75807 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.28s\n",
            "1038400 Examples seen. Accuracy: 0.7696 Error: 0.66383 Loss: 0.64999 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.29s\n",
            "1039040 Examples seen. Accuracy: 0.7690 Error: 0.57240 Loss: 0.71585 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.30s\n",
            "1039680 Examples seen. Accuracy: 0.7689 Error: 0.52712 Loss: 0.50506 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.29s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 26 Examples seen:1040000 Validation Accuracy: 0.8223 Validation Error: 0.5000 Validation Loss: 0.5248 Total time: 91.17min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.479 Min Weight:  -0.537 Max Output:  4.530 Min Output: -5.373 TNNetConvolutionLinear 32,32,64 Times: 30.29s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  4.530 Min Output: -1.085 TNNetMaxPool 8,8,64 Times: 6.95s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.807 Min Weight:   0.758 Max Output:  4.911 Min Output: -2.497 TNNetMovingStdNormalization 8,8,64 Times: 0.15s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.264 Min Weight:  -0.270 Max Output:  9.563 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.29s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.276 Min Weight:  -0.240 Max Output:  8.219 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.19s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.254 Min Weight:  -0.218 Max Output:  5.593 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.29s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.229 Min Weight:  -0.217 Max Output:  2.289 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.26s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  2.289 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.02s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  2.289 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.36s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.336 Min Weight:  -0.270 Max Output:  4.672 Min Output: -7.835 TNNetFullConnectLinear 10,1,1 Times: 0.12s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.546 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Epoch time: 2.3854 minutes. 50 epochs: 1.9878 hours.\n",
            "Epochs: 26. Working time: 1.52 hours.\n",
            "1040640 Examples seen. Accuracy: 0.7649 Error: 0.61200 Loss: 0.62400 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.25s\n",
            "1041280 Examples seen. Accuracy: 0.7622 Error: 0.68391 Loss: 0.72871 Threads: 2 Forward time: 0.65s Backward time: 0.40s Step time: 2.24s\n",
            "1041920 Examples seen. Accuracy: 0.7655 Error: 0.63478 Loss: 0.64761 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.27s\n",
            "1042560 Examples seen. Accuracy: 0.7659 Error: 0.66454 Loss: 0.75863 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.27s\n",
            "1043200 Examples seen. Accuracy: 0.7653 Error: 0.60650 Loss: 0.66562 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.29s\n",
            "1043840 Examples seen. Accuracy: 0.7627 Error: 0.72505 Loss: 0.78411 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.36s\n",
            "1044480 Examples seen. Accuracy: 0.7645 Error: 0.64140 Loss: 0.81219 Threads: 2 Forward time: 0.72s Backward time: 0.40s Step time: 2.32s\n",
            "1045120 Examples seen. Accuracy: 0.7675 Error: 0.64084 Loss: 0.69836 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.27s\n",
            "1045760 Examples seen. Accuracy: 0.7689 Error: 0.62481 Loss: 0.72662 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.31s\n",
            "1046400 Examples seen. Accuracy: 0.7694 Error: 0.67196 Loss: 0.67580 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.28s\n",
            "1047040 Examples seen. Accuracy: 0.7703 Error: 0.66269 Loss: 0.65764 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.27s\n",
            "1047680 Examples seen. Accuracy: 0.7694 Error: 0.54606 Loss: 0.57851 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.26s\n",
            "1048320 Examples seen. Accuracy: 0.7699 Error: 0.70745 Loss: 0.79667 Threads: 2 Forward time: 0.71s Backward time: 0.44s Step time: 2.31s\n",
            "1048960 Examples seen. Accuracy: 0.7696 Error: 0.64145 Loss: 0.65407 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.31s\n",
            "1049600 Examples seen. Accuracy: 0.7663 Error: 0.70753 Loss: 0.78658 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.28s\n",
            "1050240 Examples seen. Accuracy: 0.7657 Error: 0.60931 Loss: 0.67479 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.34s\n",
            "1050880 Examples seen. Accuracy: 0.7672 Error: 0.67088 Loss: 0.63827 Threads: 2 Forward time: 0.73s Backward time: 0.41s Step time: 2.29s\n",
            "1051520 Examples seen. Accuracy: 0.7698 Error: 0.69628 Loss: 0.71167 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.30s\n",
            "1052160 Examples seen. Accuracy: 0.7720 Error: 0.48660 Loss: 0.50095 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.28s\n",
            "1052800 Examples seen. Accuracy: 0.7718 Error: 0.60956 Loss: 0.64610 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.27s\n",
            "1053440 Examples seen. Accuracy: 0.7746 Error: 0.52746 Loss: 0.59267 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.26s\n",
            "1054080 Examples seen. Accuracy: 0.7730 Error: 0.73125 Loss: 0.85383 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.27s\n",
            "1054720 Examples seen. Accuracy: 0.7724 Error: 0.69876 Loss: 0.98279 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.24s\n",
            "1055360 Examples seen. Accuracy: 0.7750 Error: 0.59749 Loss: 0.68972 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "1056000 Examples seen. Accuracy: 0.7741 Error: 0.76533 Loss: 0.89410 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.27s\n",
            "1056640 Examples seen. Accuracy: 0.7721 Error: 0.52455 Loss: 0.53645 Threads: 2 Forward time: 0.72s Backward time: 0.40s Step time: 2.27s\n",
            "1057280 Examples seen. Accuracy: 0.7711 Error: 0.48460 Loss: 0.47489 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.29s\n",
            "1057920 Examples seen. Accuracy: 0.7699 Error: 0.56157 Loss: 0.61863 Threads: 2 Forward time: 0.66s Backward time: 0.44s Step time: 2.27s\n",
            "1058560 Examples seen. Accuracy: 0.7694 Error: 0.59526 Loss: 0.51928 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.29s\n",
            "1059200 Examples seen. Accuracy: 0.7717 Error: 0.48730 Loss: 0.50844 Threads: 2 Forward time: 0.75s Backward time: 0.42s Step time: 2.30s\n",
            "1059840 Examples seen. Accuracy: 0.7747 Error: 0.39828 Loss: 0.36854 Threads: 2 Forward time: 0.72s Backward time: 0.47s Step time: 2.44s\n",
            "1060480 Examples seen. Accuracy: 0.7751 Error: 0.38394 Loss: 0.36463 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.42s\n",
            "1061120 Examples seen. Accuracy: 0.7746 Error: 0.61423 Loss: 0.63737 Threads: 2 Forward time: 0.71s Backward time: 0.44s Step time: 2.35s\n",
            "1061760 Examples seen. Accuracy: 0.7730 Error: 0.70864 Loss: 0.85128 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.36s\n",
            "1062400 Examples seen. Accuracy: 0.7731 Error: 0.59273 Loss: 0.66422 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.28s\n",
            "1063040 Examples seen. Accuracy: 0.7692 Error: 0.65597 Loss: 0.64625 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.28s\n",
            "1063680 Examples seen. Accuracy: 0.7698 Error: 0.59310 Loss: 0.56844 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.28s\n",
            "1064320 Examples seen. Accuracy: 0.7716 Error: 0.58413 Loss: 0.58618 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.34s\n",
            "1064960 Examples seen. Accuracy: 0.7721 Error: 0.58101 Loss: 0.64491 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.31s\n",
            "1065600 Examples seen. Accuracy: 0.7715 Error: 0.50464 Loss: 0.45315 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.28s\n",
            "1066240 Examples seen. Accuracy: 0.7708 Error: 0.74233 Loss: 0.92730 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.28s\n",
            "1066880 Examples seen. Accuracy: 0.7721 Error: 0.65824 Loss: 0.60421 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.29s\n",
            "1067520 Examples seen. Accuracy: 0.7753 Error: 0.48376 Loss: 0.55827 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.28s\n",
            "1068160 Examples seen. Accuracy: 0.7757 Error: 0.62353 Loss: 0.57935 Threads: 2 Forward time: 0.72s Backward time: 0.41s Step time: 2.28s\n",
            "1068800 Examples seen. Accuracy: 0.7764 Error: 0.65177 Loss: 0.72553 Threads: 2 Forward time: 0.72s Backward time: 0.45s Step time: 2.34s\n",
            "1069440 Examples seen. Accuracy: 0.7733 Error: 0.73725 Loss: 0.83220 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.31s\n",
            "1070080 Examples seen. Accuracy: 0.7750 Error: 0.53022 Loss: 0.46710 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1070720 Examples seen. Accuracy: 0.7743 Error: 0.70973 Loss: 0.73441 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "1071360 Examples seen. Accuracy: 0.7744 Error: 0.67783 Loss: 0.65465 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.24s\n",
            "1072000 Examples seen. Accuracy: 0.7743 Error: 0.61612 Loss: 0.59149 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1072640 Examples seen. Accuracy: 0.7721 Error: 0.67412 Loss: 0.74065 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.25s\n",
            "1073280 Examples seen. Accuracy: 0.7717 Error: 0.49843 Loss: 0.46644 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.23s\n",
            "1073920 Examples seen. Accuracy: 0.7706 Error: 0.65481 Loss: 0.66091 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.25s\n",
            "1074560 Examples seen. Accuracy: 0.7706 Error: 0.58088 Loss: 0.72890 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.25s\n",
            "1075200 Examples seen. Accuracy: 0.7712 Error: 0.73258 Loss: 0.95148 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.34s\n",
            "1075840 Examples seen. Accuracy: 0.7707 Error: 0.51011 Loss: 0.41506 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.30s\n",
            "1076480 Examples seen. Accuracy: 0.7714 Error: 0.64267 Loss: 0.56943 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1077120 Examples seen. Accuracy: 0.7711 Error: 0.65202 Loss: 0.73068 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.27s\n",
            "1077760 Examples seen. Accuracy: 0.7723 Error: 0.74949 Loss: 0.75692 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1078400 Examples seen. Accuracy: 0.7741 Error: 0.66644 Loss: 0.67929 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.28s\n",
            "1079040 Examples seen. Accuracy: 0.7737 Error: 0.53330 Loss: 0.52250 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.26s\n",
            "1079680 Examples seen. Accuracy: 0.7746 Error: 0.41760 Loss: 0.40439 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 27 Examples seen:1080000 Validation Accuracy: 0.8240 Validation Error: 0.4947 Validation Loss: 0.5198 Total time: 94.61min\n",
            "Epoch time: 2.3344 minutes. 50 epochs: 1.9453 hours.\n",
            "Epochs: 27. Working time: 1.58 hours.\n",
            "1080640 Examples seen. Accuracy: 0.7713 Error: 0.67894 Loss: 0.71084 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "1081280 Examples seen. Accuracy: 0.7728 Error: 0.53755 Loss: 0.49426 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1081920 Examples seen. Accuracy: 0.7691 Error: 0.76535 Loss: 0.76414 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.25s\n",
            "1082560 Examples seen. Accuracy: 0.7683 Error: 0.65598 Loss: 0.66660 Threads: 2 Forward time: 0.75s Backward time: 0.40s Step time: 2.31s\n",
            "1083200 Examples seen. Accuracy: 0.7666 Error: 0.47416 Loss: 0.43963 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.29s\n",
            "1083840 Examples seen. Accuracy: 0.7681 Error: 0.63682 Loss: 0.67082 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.28s\n",
            "1084480 Examples seen. Accuracy: 0.7713 Error: 0.66598 Loss: 0.74358 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.28s\n",
            "1085120 Examples seen. Accuracy: 0.7728 Error: 0.70429 Loss: 0.83385 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.28s\n",
            "1085760 Examples seen. Accuracy: 0.7753 Error: 0.63751 Loss: 0.68875 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.28s\n",
            "1086400 Examples seen. Accuracy: 0.7742 Error: 0.51836 Loss: 0.56228 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.29s\n",
            "1087040 Examples seen. Accuracy: 0.7775 Error: 0.66556 Loss: 0.64268 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.25s\n",
            "1087680 Examples seen. Accuracy: 0.7738 Error: 0.63449 Loss: 0.68785 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.27s\n",
            "1088320 Examples seen. Accuracy: 0.7726 Error: 0.59835 Loss: 0.60566 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.27s\n",
            "1088960 Examples seen. Accuracy: 0.7729 Error: 0.64772 Loss: 0.66562 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.29s\n",
            "1089600 Examples seen. Accuracy: 0.7735 Error: 0.45638 Loss: 0.42367 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "1090240 Examples seen. Accuracy: 0.7745 Error: 0.46694 Loss: 0.51519 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1090880 Examples seen. Accuracy: 0.7757 Error: 0.52814 Loss: 0.54169 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.27s\n",
            "1091520 Examples seen. Accuracy: 0.7767 Error: 0.48915 Loss: 0.50514 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.31s\n",
            "1092160 Examples seen. Accuracy: 0.7759 Error: 0.69754 Loss: 0.81339 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.29s\n",
            "1092800 Examples seen. Accuracy: 0.7739 Error: 0.81196 Loss: 0.88721 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.31s\n",
            "1093440 Examples seen. Accuracy: 0.7744 Error: 0.57275 Loss: 0.52925 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.29s\n",
            "1094080 Examples seen. Accuracy: 0.7740 Error: 0.57387 Loss: 0.59219 Threads: 2 Forward time: 0.66s Backward time: 0.44s Step time: 2.29s\n",
            "1094720 Examples seen. Accuracy: 0.7720 Error: 0.61858 Loss: 0.62197 Threads: 2 Forward time: 0.72s Backward time: 0.46s Step time: 2.36s\n",
            "1095360 Examples seen. Accuracy: 0.7733 Error: 0.58113 Loss: 0.66460 Threads: 2 Forward time: 0.73s Backward time: 0.43s Step time: 2.43s\n",
            "1096000 Examples seen. Accuracy: 0.7715 Error: 0.55685 Loss: 0.53554 Threads: 2 Forward time: 0.75s Backward time: 0.45s Step time: 2.40s\n",
            "1096640 Examples seen. Accuracy: 0.7762 Error: 0.55369 Loss: 0.60616 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.37s\n",
            "1097280 Examples seen. Accuracy: 0.7755 Error: 0.55193 Loss: 0.61384 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.30s\n",
            "1097920 Examples seen. Accuracy: 0.7774 Error: 0.59190 Loss: 0.70011 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.29s\n",
            "1098560 Examples seen. Accuracy: 0.7754 Error: 0.71340 Loss: 0.68923 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.28s\n",
            "1099200 Examples seen. Accuracy: 0.7770 Error: 0.51982 Loss: 0.51748 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.28s\n",
            "1099840 Examples seen. Accuracy: 0.7757 Error: 0.55600 Loss: 0.51837 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.29s\n",
            "1100480 Examples seen. Accuracy: 0.7738 Error: 0.78785 Loss: 0.91916 Threads: 2 Forward time: 0.72s Backward time: 0.42s Step time: 2.28s\n",
            "1101120 Examples seen. Accuracy: 0.7715 Error: 0.67888 Loss: 0.66424 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.28s\n",
            "1101760 Examples seen. Accuracy: 0.7711 Error: 0.63342 Loss: 0.68960 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.27s\n",
            "1102400 Examples seen. Accuracy: 0.7709 Error: 0.61279 Loss: 0.67531 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.28s\n",
            "1103040 Examples seen. Accuracy: 0.7736 Error: 0.63234 Loss: 0.62694 Threads: 2 Forward time: 0.77s Backward time: 0.42s Step time: 2.29s\n",
            "1103680 Examples seen. Accuracy: 0.7722 Error: 0.62046 Loss: 0.58955 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.37s\n",
            "1104320 Examples seen. Accuracy: 0.7725 Error: 0.53156 Loss: 0.65217 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.30s\n",
            "1104960 Examples seen. Accuracy: 0.7724 Error: 0.53894 Loss: 0.57347 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.25s\n",
            "1105600 Examples seen. Accuracy: 0.7745 Error: 0.61540 Loss: 0.61130 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.31s\n",
            "1106240 Examples seen. Accuracy: 0.7732 Error: 0.61875 Loss: 0.57170 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.28s\n",
            "1106880 Examples seen. Accuracy: 0.7724 Error: 0.77616 Loss: 0.93340 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.27s\n",
            "1107520 Examples seen. Accuracy: 0.7720 Error: 0.69649 Loss: 0.71406 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.28s\n",
            "1108160 Examples seen. Accuracy: 0.7706 Error: 0.64266 Loss: 0.65267 Threads: 2 Forward time: 0.74s Backward time: 0.41s Step time: 2.33s\n",
            "1108800 Examples seen. Accuracy: 0.7697 Error: 0.63226 Loss: 0.60331 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.27s\n",
            "1109440 Examples seen. Accuracy: 0.7707 Error: 0.72177 Loss: 0.79441 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.31s\n",
            "1110080 Examples seen. Accuracy: 0.7721 Error: 0.56079 Loss: 0.53028 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.36s\n",
            "1110720 Examples seen. Accuracy: 0.7722 Error: 0.53931 Loss: 0.61064 Threads: 2 Forward time: 0.73s Backward time: 0.44s Step time: 2.34s\n",
            "1111360 Examples seen. Accuracy: 0.7677 Error: 0.71927 Loss: 0.81796 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.32s\n",
            "1112000 Examples seen. Accuracy: 0.7677 Error: 0.57221 Loss: 0.56836 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.35s\n",
            "1112640 Examples seen. Accuracy: 0.7694 Error: 0.50521 Loss: 0.52993 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.35s\n",
            "1113280 Examples seen. Accuracy: 0.7674 Error: 0.72137 Loss: 0.78678 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.26s\n",
            "1113920 Examples seen. Accuracy: 0.7684 Error: 0.51623 Loss: 0.54745 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.30s\n",
            "1114560 Examples seen. Accuracy: 0.7671 Error: 0.47534 Loss: 0.54274 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.28s\n",
            "1115200 Examples seen. Accuracy: 0.7699 Error: 0.51134 Loss: 0.55922 Threads: 2 Forward time: 0.72s Backward time: 0.41s Step time: 2.30s\n",
            "1115840 Examples seen. Accuracy: 0.7691 Error: 0.69697 Loss: 0.79744 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.28s\n",
            "1116480 Examples seen. Accuracy: 0.7720 Error: 0.60532 Loss: 0.58824 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.28s\n",
            "1117120 Examples seen. Accuracy: 0.7753 Error: 0.57749 Loss: 0.49632 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.29s\n",
            "1117760 Examples seen. Accuracy: 0.7760 Error: 0.58438 Loss: 0.59893 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.27s\n",
            "1118400 Examples seen. Accuracy: 0.7733 Error: 0.53181 Loss: 0.54858 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.29s\n",
            "1119040 Examples seen. Accuracy: 0.7732 Error: 0.59024 Loss: 0.53193 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.30s\n",
            "1119680 Examples seen. Accuracy: 0.7740 Error: 0.68910 Loss: 0.71524 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.39s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 28 Examples seen:1120000 Validation Accuracy: 0.8261 Validation Error: 0.4891 Validation Loss: 0.5150 Total time: 98.09min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.494 Min Weight:  -0.550 Max Output:  4.574 Min Output: -5.458 TNNetConvolutionLinear 32,32,64 Times: 30.77s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  4.574 Min Output: -1.136 TNNetMaxPool 8,8,64 Times: 7.03s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.821 Min Weight:   0.772 Max Output:  4.860 Min Output: -2.534 TNNetMovingStdNormalization 8,8,64 Times: 0.16s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.271 Min Weight:  -0.277 Max Output:  9.686 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.52s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.286 Min Weight:  -0.255 Max Output:  9.216 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.45s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.257 Min Weight:  -0.225 Max Output:  6.026 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.60s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.235 Min Weight:  -0.219 Max Output:  2.657 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.61s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  2.657 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.03s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  2.657 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.36s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.341 Min Weight:  -0.271 Max Output:  4.850 Min Output: -8.163 TNNetFullConnectLinear 10,1,1 Times: 0.15s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.541 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Epoch time: 2.4896 minutes. 50 epochs: 2.0747 hours.\n",
            "Epochs: 28. Working time: 1.63 hours.\n",
            "1120640 Examples seen. Accuracy: 0.7794 Error: 0.52421 Loss: 0.63351 Threads: 2 Forward time: 0.72s Backward time: 0.42s Step time: 2.34s\n",
            "1121280 Examples seen. Accuracy: 0.7815 Error: 0.52029 Loss: 0.55908 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.31s\n",
            "1121920 Examples seen. Accuracy: 0.7798 Error: 0.64171 Loss: 0.63233 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.34s\n",
            "1122560 Examples seen. Accuracy: 0.7798 Error: 0.64865 Loss: 0.75683 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.28s\n",
            "1123200 Examples seen. Accuracy: 0.7778 Error: 0.61196 Loss: 0.56286 Threads: 2 Forward time: 0.72s Backward time: 0.41s Step time: 2.31s\n",
            "1123840 Examples seen. Accuracy: 0.7766 Error: 0.46690 Loss: 0.43316 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.27s\n",
            "1124480 Examples seen. Accuracy: 0.7785 Error: 0.60207 Loss: 0.61848 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.27s\n",
            "1125120 Examples seen. Accuracy: 0.7767 Error: 0.59671 Loss: 0.69586 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.26s\n",
            "1125760 Examples seen. Accuracy: 0.7766 Error: 0.56630 Loss: 0.57956 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.27s\n",
            "1126400 Examples seen. Accuracy: 0.7776 Error: 0.47290 Loss: 0.49113 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1127040 Examples seen. Accuracy: 0.7764 Error: 0.64792 Loss: 0.63391 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.25s\n",
            "1127680 Examples seen. Accuracy: 0.7781 Error: 0.49905 Loss: 0.43891 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.25s\n",
            "1128320 Examples seen. Accuracy: 0.7755 Error: 0.38912 Loss: 0.35121 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.28s\n",
            "1128960 Examples seen. Accuracy: 0.7733 Error: 0.59010 Loss: 0.61952 Threads: 2 Forward time: 0.73s Backward time: 0.42s Step time: 2.31s\n",
            "1129600 Examples seen. Accuracy: 0.7736 Error: 0.62095 Loss: 0.74850 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.30s\n",
            "1130240 Examples seen. Accuracy: 0.7718 Error: 0.65263 Loss: 0.64472 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1130880 Examples seen. Accuracy: 0.7735 Error: 0.79717 Loss: 0.83316 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.26s\n",
            "1131520 Examples seen. Accuracy: 0.7732 Error: 0.56024 Loss: 0.56859 Threads: 2 Forward time: 0.69s Backward time: 0.45s Step time: 2.27s\n",
            "1132160 Examples seen. Accuracy: 0.7738 Error: 0.59734 Loss: 0.54427 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "1132800 Examples seen. Accuracy: 0.7727 Error: 0.55674 Loss: 0.45714 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1133440 Examples seen. Accuracy: 0.7713 Error: 0.53348 Loss: 0.55996 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1134080 Examples seen. Accuracy: 0.7736 Error: 0.63320 Loss: 0.73677 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.24s\n",
            "1134720 Examples seen. Accuracy: 0.7747 Error: 0.71991 Loss: 0.77038 Threads: 2 Forward time: 0.72s Backward time: 0.44s Step time: 2.30s\n",
            "1135360 Examples seen. Accuracy: 0.7730 Error: 0.57787 Loss: 0.60152 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.28s\n",
            "1136000 Examples seen. Accuracy: 0.7726 Error: 0.50915 Loss: 0.46865 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.25s\n",
            "1136640 Examples seen. Accuracy: 0.7775 Error: 0.51334 Loss: 0.57772 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.25s\n",
            "1137280 Examples seen. Accuracy: 0.7775 Error: 0.47320 Loss: 0.46707 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1137920 Examples seen. Accuracy: 0.7785 Error: 0.73078 Loss: 0.76182 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.27s\n",
            "1138560 Examples seen. Accuracy: 0.7759 Error: 0.64600 Loss: 0.81387 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.27s\n",
            "1139200 Examples seen. Accuracy: 0.7787 Error: 0.65314 Loss: 0.79598 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.27s\n",
            "1139840 Examples seen. Accuracy: 0.7786 Error: 0.53289 Loss: 0.53779 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.32s\n",
            "1140480 Examples seen. Accuracy: 0.7758 Error: 0.67408 Loss: 0.67357 Threads: 2 Forward time: 0.72s Backward time: 0.40s Step time: 2.31s\n",
            "1141120 Examples seen. Accuracy: 0.7747 Error: 0.76437 Loss: 0.72462 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.31s\n",
            "1141760 Examples seen. Accuracy: 0.7751 Error: 0.63911 Loss: 0.64265 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.30s\n",
            "1142400 Examples seen. Accuracy: 0.7752 Error: 0.60393 Loss: 0.65330 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.29s\n",
            "1143040 Examples seen. Accuracy: 0.7754 Error: 0.64088 Loss: 0.66254 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.29s\n",
            "1143680 Examples seen. Accuracy: 0.7738 Error: 0.68539 Loss: 0.73513 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.30s\n",
            "1144320 Examples seen. Accuracy: 0.7727 Error: 0.47767 Loss: 0.45383 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.25s\n",
            "1144960 Examples seen. Accuracy: 0.7762 Error: 0.50762 Loss: 0.50520 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.27s\n",
            "1145600 Examples seen. Accuracy: 0.7757 Error: 0.78931 Loss: 0.85896 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.27s\n",
            "1146240 Examples seen. Accuracy: 0.7749 Error: 0.56260 Loss: 0.63088 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1146880 Examples seen. Accuracy: 0.7759 Error: 0.60969 Loss: 0.80845 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.29s\n",
            "1147520 Examples seen. Accuracy: 0.7791 Error: 0.55723 Loss: 0.60484 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.30s\n",
            "1148160 Examples seen. Accuracy: 0.7771 Error: 0.62622 Loss: 0.56205 Threads: 2 Forward time: 0.73s Backward time: 0.45s Step time: 2.31s\n",
            "1148800 Examples seen. Accuracy: 0.7764 Error: 0.53529 Loss: 0.55049 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.38s\n",
            "1149440 Examples seen. Accuracy: 0.7758 Error: 0.59341 Loss: 0.56023 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.31s\n",
            "1150080 Examples seen. Accuracy: 0.7761 Error: 0.62092 Loss: 0.63427 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.29s\n",
            "1150720 Examples seen. Accuracy: 0.7769 Error: 0.57329 Loss: 0.64913 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.27s\n",
            "1151360 Examples seen. Accuracy: 0.7748 Error: 0.45510 Loss: 0.52737 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1152000 Examples seen. Accuracy: 0.7739 Error: 0.63758 Loss: 0.68069 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.24s\n",
            "1152640 Examples seen. Accuracy: 0.7742 Error: 0.50571 Loss: 0.58059 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.27s\n",
            "1153280 Examples seen. Accuracy: 0.7744 Error: 0.56878 Loss: 0.53177 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.28s\n",
            "1153920 Examples seen. Accuracy: 0.7768 Error: 0.54415 Loss: 0.56553 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.25s\n",
            "1154560 Examples seen. Accuracy: 0.7790 Error: 0.50388 Loss: 0.71423 Threads: 2 Forward time: 0.72s Backward time: 0.40s Step time: 2.27s\n",
            "1155200 Examples seen. Accuracy: 0.7778 Error: 0.78313 Loss: 0.97846 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.25s\n",
            "1155840 Examples seen. Accuracy: 0.7759 Error: 0.69764 Loss: 0.67843 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1156480 Examples seen. Accuracy: 0.7744 Error: 0.53026 Loss: 0.49082 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.27s\n",
            "1157120 Examples seen. Accuracy: 0.7754 Error: 0.50892 Loss: 0.53582 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1157760 Examples seen. Accuracy: 0.7776 Error: 0.63629 Loss: 0.65726 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.24s\n",
            "1158400 Examples seen. Accuracy: 0.7767 Error: 0.60666 Loss: 0.67876 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.23s\n",
            "1159040 Examples seen. Accuracy: 0.7769 Error: 0.47899 Loss: 0.47012 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.26s\n",
            "1159680 Examples seen. Accuracy: 0.7756 Error: 0.53084 Loss: 0.52093 Threads: 2 Forward time: 0.72s Backward time: 0.40s Step time: 2.31s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 29 Examples seen:1160000 Validation Accuracy: 0.8287 Validation Error: 0.4835 Validation Loss: 0.5090 Total time: 101.52min\n",
            "Epoch time: 2.4073 minutes. 50 epochs: 2.0061 hours.\n",
            "Epochs: 29. Working time: 1.69 hours.\n",
            "1160640 Examples seen. Accuracy: 0.7776 Error: 0.56986 Loss: 0.47305 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.24s\n",
            "1161280 Examples seen. Accuracy: 0.7762 Error: 0.66140 Loss: 0.61581 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.24s\n",
            "1161920 Examples seen. Accuracy: 0.7805 Error: 0.60814 Loss: 0.70295 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.24s\n",
            "1162560 Examples seen. Accuracy: 0.7788 Error: 0.67714 Loss: 0.70537 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.25s\n",
            "1163200 Examples seen. Accuracy: 0.7826 Error: 0.59043 Loss: 0.67026 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "1163840 Examples seen. Accuracy: 0.7801 Error: 0.64057 Loss: 0.77652 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.28s\n",
            "1164480 Examples seen. Accuracy: 0.7774 Error: 0.49402 Loss: 0.45296 Threads: 2 Forward time: 0.73s Backward time: 0.40s Step time: 2.29s\n",
            "1165120 Examples seen. Accuracy: 0.7785 Error: 0.54668 Loss: 0.60388 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.27s\n",
            "1165760 Examples seen. Accuracy: 0.7782 Error: 0.72739 Loss: 0.65615 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1166400 Examples seen. Accuracy: 0.7805 Error: 0.52673 Loss: 0.46872 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.25s\n",
            "1167040 Examples seen. Accuracy: 0.7820 Error: 0.62018 Loss: 0.74346 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.26s\n",
            "1167680 Examples seen. Accuracy: 0.7808 Error: 0.58190 Loss: 0.60172 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1168320 Examples seen. Accuracy: 0.7816 Error: 0.37622 Loss: 0.34950 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.27s\n",
            "1168960 Examples seen. Accuracy: 0.7794 Error: 0.65894 Loss: 0.81498 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "1169600 Examples seen. Accuracy: 0.7765 Error: 0.67649 Loss: 0.76236 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.24s\n",
            "1170240 Examples seen. Accuracy: 0.7765 Error: 0.50140 Loss: 0.48591 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1170880 Examples seen. Accuracy: 0.7776 Error: 0.66763 Loss: 0.78585 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "1171520 Examples seen. Accuracy: 0.7759 Error: 0.67202 Loss: 0.80705 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.25s\n",
            "1172160 Examples seen. Accuracy: 0.7777 Error: 0.53117 Loss: 0.56495 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.25s\n",
            "1172800 Examples seen. Accuracy: 0.7797 Error: 0.51295 Loss: 0.44868 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.25s\n",
            "1173440 Examples seen. Accuracy: 0.7794 Error: 0.50560 Loss: 0.55629 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.27s\n",
            "1174080 Examples seen. Accuracy: 0.7805 Error: 0.62676 Loss: 0.63596 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.29s\n",
            "1174720 Examples seen. Accuracy: 0.7805 Error: 0.68616 Loss: 0.72264 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.33s\n",
            "1175360 Examples seen. Accuracy: 0.7777 Error: 0.55185 Loss: 0.54884 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.32s\n",
            "1176000 Examples seen. Accuracy: 0.7770 Error: 0.64244 Loss: 0.71392 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.31s\n",
            "1176640 Examples seen. Accuracy: 0.7804 Error: 0.39786 Loss: 0.43744 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.29s\n",
            "1177280 Examples seen. Accuracy: 0.7786 Error: 0.65243 Loss: 0.73349 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "1177920 Examples seen. Accuracy: 0.7790 Error: 0.53043 Loss: 0.50502 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.24s\n",
            "1178560 Examples seen. Accuracy: 0.7812 Error: 0.51034 Loss: 0.52732 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "1179200 Examples seen. Accuracy: 0.7822 Error: 0.60129 Loss: 0.63602 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.25s\n",
            "1179840 Examples seen. Accuracy: 0.7812 Error: 0.64255 Loss: 0.70390 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.30s\n",
            "1180480 Examples seen. Accuracy: 0.7818 Error: 0.60750 Loss: 0.59077 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.25s\n",
            "1181120 Examples seen. Accuracy: 0.7806 Error: 0.52028 Loss: 0.49569 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "1181760 Examples seen. Accuracy: 0.7805 Error: 0.69940 Loss: 0.79032 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.32s\n",
            "1182400 Examples seen. Accuracy: 0.7805 Error: 0.70332 Loss: 0.66928 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.29s\n",
            "1183040 Examples seen. Accuracy: 0.7791 Error: 0.57775 Loss: 0.59930 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.26s\n",
            "1183680 Examples seen. Accuracy: 0.7800 Error: 0.51869 Loss: 0.51265 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.26s\n",
            "1184320 Examples seen. Accuracy: 0.7806 Error: 0.51277 Loss: 0.53224 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.26s\n",
            "1184960 Examples seen. Accuracy: 0.7805 Error: 0.62983 Loss: 0.70943 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.29s\n",
            "1185600 Examples seen. Accuracy: 0.7793 Error: 0.64632 Loss: 0.76454 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.26s\n",
            "1186240 Examples seen. Accuracy: 0.7814 Error: 0.52997 Loss: 0.51816 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.22s\n",
            "1186880 Examples seen. Accuracy: 0.7824 Error: 0.52129 Loss: 0.67619 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.23s\n",
            "1187520 Examples seen. Accuracy: 0.7838 Error: 0.74656 Loss: 0.91833 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.25s\n",
            "1188160 Examples seen. Accuracy: 0.7832 Error: 0.64505 Loss: 0.65476 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.26s\n",
            "1188800 Examples seen. Accuracy: 0.7792 Error: 0.57545 Loss: 0.69557 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.23s\n",
            "1189440 Examples seen. Accuracy: 0.7791 Error: 0.71102 Loss: 0.67482 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "1190080 Examples seen. Accuracy: 0.7784 Error: 0.64396 Loss: 0.55848 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.27s\n",
            "1190720 Examples seen. Accuracy: 0.7802 Error: 0.61249 Loss: 0.60549 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.27s\n",
            "1191360 Examples seen. Accuracy: 0.7780 Error: 0.52606 Loss: 0.52067 Threads: 2 Forward time: 0.64s Backward time: 0.42s Step time: 2.24s\n",
            "1192000 Examples seen. Accuracy: 0.7748 Error: 0.66464 Loss: 0.68711 Threads: 2 Forward time: 0.73s Backward time: 0.44s Step time: 2.30s\n",
            "1192640 Examples seen. Accuracy: 0.7729 Error: 0.57977 Loss: 0.54087 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.36s\n",
            "1193280 Examples seen. Accuracy: 0.7737 Error: 0.73024 Loss: 0.91881 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.28s\n",
            "1193920 Examples seen. Accuracy: 0.7750 Error: 0.71196 Loss: 0.76247 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.34s\n",
            "1194560 Examples seen. Accuracy: 0.7741 Error: 0.70257 Loss: 0.64790 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.27s\n",
            "1195200 Examples seen. Accuracy: 0.7746 Error: 0.51348 Loss: 0.52483 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.24s\n",
            "1195840 Examples seen. Accuracy: 0.7751 Error: 0.72426 Loss: 0.69242 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.28s\n",
            "1196480 Examples seen. Accuracy: 0.7744 Error: 0.70227 Loss: 0.76354 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.24s\n",
            "1197120 Examples seen. Accuracy: 0.7759 Error: 0.66231 Loss: 0.63596 Threads: 2 Forward time: 0.70s Backward time: 0.44s Step time: 2.28s\n",
            "1197760 Examples seen. Accuracy: 0.7767 Error: 0.75073 Loss: 0.87106 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.30s\n",
            "1198400 Examples seen. Accuracy: 0.7773 Error: 0.64883 Loss: 0.62832 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.27s\n",
            "1199040 Examples seen. Accuracy: 0.7749 Error: 0.44764 Loss: 0.47303 Threads: 2 Forward time: 0.75s Backward time: 0.43s Step time: 2.26s\n",
            "1199680 Examples seen. Accuracy: 0.7749 Error: 0.49609 Loss: 0.45942 Threads: 2 Forward time: 0.71s Backward time: 0.44s Step time: 2.38s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 30 Examples seen:1200000 Validation Accuracy: 0.8315 Validation Error: 0.4787 Validation Loss: 0.5051 Total time: 104.94min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.510 Min Weight:  -0.562 Max Output:  4.717 Min Output: -5.502 TNNetConvolutionLinear 32,32,64 Times: 30.28s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  4.717 Min Output: -1.156 TNNetMaxPool 8,8,64 Times: 6.94s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.834 Min Weight:   0.786 Max Output:  4.939 Min Output: -2.532 TNNetMovingStdNormalization 8,8,64 Times: 0.15s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.279 Min Weight:  -0.284 Max Output:  9.980 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.32s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.291 Min Weight:  -0.270 Max Output:  9.685 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.12s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.264 Min Weight:  -0.232 Max Output:  6.380 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.29s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.240 Min Weight:  -0.219 Max Output:  2.677 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.24s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  2.677 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.04s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  2.677 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.38s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.345 Min Weight:  -0.272 Max Output:  4.576 Min Output: -8.332 TNNetFullConnectLinear 10,1,1 Times: 0.11s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.559 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Starting Testing.\n",
            "Epochs: 30 Examples seen:1200000 Test Accuracy: 0.8226 Test Error: 0.4935 Test Loss: 0.5318 Total time: 105.98min\n",
            "Epoch time: 2.4771 minutes. 50 epochs: 2.0642 hours.\n",
            "Epochs: 30. Working time: 1.77 hours.\n",
            "Learning rate set to: 0.00074\n",
            "1200640 Examples seen. Accuracy: 0.7751 Error: 0.64286 Loss: 0.65344 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.24s\n",
            "1201280 Examples seen. Accuracy: 0.7754 Error: 0.71721 Loss: 0.69562 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.22s\n",
            "1201920 Examples seen. Accuracy: 0.7767 Error: 0.67096 Loss: 0.80500 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "1202560 Examples seen. Accuracy: 0.7779 Error: 0.61637 Loss: 0.55140 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.25s\n",
            "1203200 Examples seen. Accuracy: 0.7772 Error: 0.55723 Loss: 0.63485 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.25s\n",
            "1203840 Examples seen. Accuracy: 0.7775 Error: 0.77592 Loss: 0.83950 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.24s\n",
            "1204480 Examples seen. Accuracy: 0.7767 Error: 0.71214 Loss: 0.67258 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.24s\n",
            "1205120 Examples seen. Accuracy: 0.7787 Error: 0.67056 Loss: 0.83594 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "1205760 Examples seen. Accuracy: 0.7808 Error: 0.49759 Loss: 0.45220 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.28s\n",
            "1206400 Examples seen. Accuracy: 0.7814 Error: 0.72138 Loss: 0.79935 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "1207040 Examples seen. Accuracy: 0.7844 Error: 0.36128 Loss: 0.36295 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.25s\n",
            "1207680 Examples seen. Accuracy: 0.7874 Error: 0.51051 Loss: 0.48343 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.25s\n",
            "1208320 Examples seen. Accuracy: 0.7863 Error: 0.70855 Loss: 0.74752 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.28s\n",
            "1208960 Examples seen. Accuracy: 0.7874 Error: 0.47668 Loss: 0.44527 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.28s\n",
            "1209600 Examples seen. Accuracy: 0.7854 Error: 0.59715 Loss: 0.67875 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.24s\n",
            "1210240 Examples seen. Accuracy: 0.7836 Error: 0.55964 Loss: 0.59544 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.24s\n",
            "1210880 Examples seen. Accuracy: 0.7857 Error: 0.55520 Loss: 0.52169 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "1211520 Examples seen. Accuracy: 0.7848 Error: 0.75426 Loss: 0.79197 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.25s\n",
            "1212160 Examples seen. Accuracy: 0.7832 Error: 0.66075 Loss: 0.79864 Threads: 2 Forward time: 0.72s Backward time: 0.38s Step time: 2.24s\n",
            "1212800 Examples seen. Accuracy: 0.7792 Error: 0.70873 Loss: 0.85938 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.27s\n",
            "1213440 Examples seen. Accuracy: 0.7786 Error: 0.62843 Loss: 0.63079 Threads: 2 Forward time: 0.70s Backward time: 0.38s Step time: 2.26s\n",
            "1214080 Examples seen. Accuracy: 0.7800 Error: 0.57805 Loss: 0.68733 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.25s\n",
            "1214720 Examples seen. Accuracy: 0.7790 Error: 0.57427 Loss: 0.57693 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1215360 Examples seen. Accuracy: 0.7801 Error: 0.62025 Loss: 0.74760 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.25s\n",
            "1216000 Examples seen. Accuracy: 0.7800 Error: 0.49520 Loss: 0.42426 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.26s\n",
            "1216640 Examples seen. Accuracy: 0.7819 Error: 0.51242 Loss: 0.51837 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.27s\n",
            "1217280 Examples seen. Accuracy: 0.7820 Error: 0.54005 Loss: 0.62845 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.29s\n",
            "1217920 Examples seen. Accuracy: 0.7844 Error: 0.53553 Loss: 0.60004 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.29s\n",
            "1218560 Examples seen. Accuracy: 0.7873 Error: 0.50862 Loss: 0.49073 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.28s\n",
            "1219200 Examples seen. Accuracy: 0.7834 Error: 0.58298 Loss: 0.65297 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.25s\n",
            "1219840 Examples seen. Accuracy: 0.7789 Error: 0.68969 Loss: 0.75226 Threads: 2 Forward time: 0.72s Backward time: 0.41s Step time: 2.29s\n",
            "1220480 Examples seen. Accuracy: 0.7782 Error: 0.57104 Loss: 0.78865 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.29s\n",
            "1221120 Examples seen. Accuracy: 0.7781 Error: 0.65082 Loss: 0.71729 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.29s\n",
            "1221760 Examples seen. Accuracy: 0.7771 Error: 0.62464 Loss: 0.73031 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.26s\n",
            "1222400 Examples seen. Accuracy: 0.7774 Error: 0.68074 Loss: 0.72782 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.31s\n",
            "1223040 Examples seen. Accuracy: 0.7765 Error: 0.65501 Loss: 0.67829 Threads: 2 Forward time: 0.72s Backward time: 0.43s Step time: 2.36s\n",
            "1223680 Examples seen. Accuracy: 0.7782 Error: 0.53044 Loss: 0.64561 Threads: 2 Forward time: 0.76s Backward time: 0.45s Step time: 2.71s\n",
            "1224320 Examples seen. Accuracy: 0.7780 Error: 0.63073 Loss: 0.68233 Threads: 2 Forward time: 0.81s Backward time: 0.50s Step time: 2.71s\n",
            "1224960 Examples seen. Accuracy: 0.7785 Error: 0.59606 Loss: 0.65647 Threads: 2 Forward time: 0.78s Backward time: 0.49s Step time: 2.54s\n",
            "1225600 Examples seen. Accuracy: 0.7825 Error: 0.48693 Loss: 0.56173 Threads: 2 Forward time: 0.71s Backward time: 0.44s Step time: 2.45s\n",
            "1226240 Examples seen. Accuracy: 0.7824 Error: 0.46022 Loss: 0.62631 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.34s\n",
            "1226880 Examples seen. Accuracy: 0.7830 Error: 0.50223 Loss: 0.51936 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.32s\n",
            "1227520 Examples seen. Accuracy: 0.7833 Error: 0.64159 Loss: 0.66163 Threads: 2 Forward time: 0.69s Backward time: 0.45s Step time: 2.36s\n",
            "1228160 Examples seen. Accuracy: 0.7836 Error: 0.48403 Loss: 0.41012 Threads: 2 Forward time: 0.72s Backward time: 0.43s Step time: 2.39s\n",
            "1228800 Examples seen. Accuracy: 0.7842 Error: 0.55769 Loss: 0.64978 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.30s\n",
            "1229440 Examples seen. Accuracy: 0.7853 Error: 0.49699 Loss: 0.54006 Threads: 2 Forward time: 0.74s Backward time: 0.46s Step time: 2.36s\n",
            "1230080 Examples seen. Accuracy: 0.7854 Error: 0.53543 Loss: 0.56210 Threads: 2 Forward time: 0.75s Backward time: 0.48s Step time: 2.49s\n",
            "1230720 Examples seen. Accuracy: 0.7862 Error: 0.50619 Loss: 0.55176 Threads: 2 Forward time: 0.72s Backward time: 0.38s Step time: 2.33s\n",
            "1231360 Examples seen. Accuracy: 0.7866 Error: 0.40496 Loss: 0.36965 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.30s\n",
            "1232000 Examples seen. Accuracy: 0.7859 Error: 0.54203 Loss: 0.54539 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.29s\n",
            "1232640 Examples seen. Accuracy: 0.7857 Error: 0.57522 Loss: 0.53422 Threads: 2 Forward time: 0.72s Backward time: 0.42s Step time: 2.29s\n",
            "1233280 Examples seen. Accuracy: 0.7859 Error: 0.68595 Loss: 0.76582 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.27s\n",
            "1233920 Examples seen. Accuracy: 0.7869 Error: 0.51987 Loss: 0.61110 Threads: 2 Forward time: 0.73s Backward time: 0.46s Step time: 2.35s\n",
            "1234560 Examples seen. Accuracy: 0.7885 Error: 0.51042 Loss: 0.58027 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.40s\n",
            "1235200 Examples seen. Accuracy: 0.7878 Error: 0.57845 Loss: 0.60363 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.31s\n",
            "1235840 Examples seen. Accuracy: 0.7868 Error: 0.49994 Loss: 0.50530 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.31s\n",
            "1236480 Examples seen. Accuracy: 0.7873 Error: 0.63299 Loss: 0.71473 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1237120 Examples seen. Accuracy: 0.7867 Error: 0.62847 Loss: 0.84041 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.28s\n",
            "1237760 Examples seen. Accuracy: 0.7878 Error: 0.59563 Loss: 0.73300 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.27s\n",
            "1238400 Examples seen. Accuracy: 0.7871 Error: 0.53870 Loss: 0.51377 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.27s\n",
            "1239040 Examples seen. Accuracy: 0.7853 Error: 0.63139 Loss: 0.66731 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.28s\n",
            "1239680 Examples seen. Accuracy: 0.7846 Error: 0.61708 Loss: 0.73526 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.28s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 31 Examples seen:1240000 Validation Accuracy: 0.8329 Validation Error: 0.4742 Validation Loss: 0.5028 Total time: 109.45min\n",
            "Epoch time: 2.3698 minutes. 50 epochs: 1.9748 hours.\n",
            "Epochs: 31. Working time: 1.82 hours.\n",
            "1240640 Examples seen. Accuracy: 0.7843 Error: 0.47725 Loss: 0.51584 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.26s\n",
            "1241280 Examples seen. Accuracy: 0.7840 Error: 0.49573 Loss: 0.46569 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "1241920 Examples seen. Accuracy: 0.7828 Error: 0.56171 Loss: 0.66530 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "1242560 Examples seen. Accuracy: 0.7833 Error: 0.53505 Loss: 0.46275 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.23s\n",
            "1243200 Examples seen. Accuracy: 0.7807 Error: 0.52023 Loss: 0.59308 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "1243840 Examples seen. Accuracy: 0.7832 Error: 0.60766 Loss: 0.67507 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.23s\n",
            "1244480 Examples seen. Accuracy: 0.7875 Error: 0.55527 Loss: 0.54208 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.26s\n",
            "1245120 Examples seen. Accuracy: 0.7880 Error: 0.56765 Loss: 0.63586 Threads: 2 Forward time: 0.72s Backward time: 0.38s Step time: 2.27s\n",
            "1245760 Examples seen. Accuracy: 0.7896 Error: 0.54940 Loss: 0.67471 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.27s\n",
            "1246400 Examples seen. Accuracy: 0.7890 Error: 0.58934 Loss: 0.64301 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.27s\n",
            "1247040 Examples seen. Accuracy: 0.7878 Error: 0.56561 Loss: 0.61911 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.28s\n",
            "1247680 Examples seen. Accuracy: 0.7883 Error: 0.54601 Loss: 0.59486 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.25s\n",
            "1248320 Examples seen. Accuracy: 0.7885 Error: 0.63256 Loss: 0.79630 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.28s\n",
            "1248960 Examples seen. Accuracy: 0.7865 Error: 0.59277 Loss: 0.75957 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "1249600 Examples seen. Accuracy: 0.7874 Error: 0.54872 Loss: 0.60920 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.25s\n",
            "1250240 Examples seen. Accuracy: 0.7872 Error: 0.55110 Loss: 0.56751 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.25s\n",
            "1250880 Examples seen. Accuracy: 0.7883 Error: 0.45490 Loss: 0.40343 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.25s\n",
            "1251520 Examples seen. Accuracy: 0.7912 Error: 0.38080 Loss: 0.34165 Threads: 2 Forward time: 0.72s Backward time: 0.41s Step time: 2.25s\n",
            "1252160 Examples seen. Accuracy: 0.7930 Error: 0.54881 Loss: 0.54164 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1252800 Examples seen. Accuracy: 0.7915 Error: 0.52708 Loss: 0.58480 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.24s\n",
            "1253440 Examples seen. Accuracy: 0.7926 Error: 0.48129 Loss: 0.51919 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.23s\n",
            "1254080 Examples seen. Accuracy: 0.7921 Error: 0.55212 Loss: 0.58826 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.26s\n",
            "1254720 Examples seen. Accuracy: 0.7909 Error: 0.44050 Loss: 0.45105 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.27s\n",
            "1255360 Examples seen. Accuracy: 0.7887 Error: 0.54091 Loss: 0.61723 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.24s\n",
            "1256000 Examples seen. Accuracy: 0.7906 Error: 0.53010 Loss: 0.43359 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.25s\n",
            "1256640 Examples seen. Accuracy: 0.7885 Error: 0.58651 Loss: 0.54602 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1257280 Examples seen. Accuracy: 0.7884 Error: 0.57085 Loss: 0.60078 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1257920 Examples seen. Accuracy: 0.7876 Error: 0.70097 Loss: 0.76701 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.24s\n",
            "1258560 Examples seen. Accuracy: 0.7859 Error: 0.58308 Loss: 0.54945 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "1259200 Examples seen. Accuracy: 0.7874 Error: 0.60047 Loss: 0.65089 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.26s\n",
            "1259840 Examples seen. Accuracy: 0.7873 Error: 0.46302 Loss: 0.41428 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.24s\n",
            "1260480 Examples seen. Accuracy: 0.7860 Error: 0.64550 Loss: 0.73407 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.30s\n",
            "1261120 Examples seen. Accuracy: 0.7836 Error: 0.38562 Loss: 0.41699 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.27s\n",
            "1261760 Examples seen. Accuracy: 0.7817 Error: 0.75661 Loss: 0.86641 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.28s\n",
            "1262400 Examples seen. Accuracy: 0.7800 Error: 0.55889 Loss: 0.56879 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.28s\n",
            "1263040 Examples seen. Accuracy: 0.7805 Error: 0.56653 Loss: 0.58501 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.25s\n",
            "1263680 Examples seen. Accuracy: 0.7813 Error: 0.61508 Loss: 0.63592 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.27s\n",
            "1264320 Examples seen. Accuracy: 0.7830 Error: 0.53914 Loss: 0.46992 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "1264960 Examples seen. Accuracy: 0.7820 Error: 0.58157 Loss: 0.52403 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.23s\n",
            "1265600 Examples seen. Accuracy: 0.7830 Error: 0.56299 Loss: 0.53784 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.23s\n",
            "1266240 Examples seen. Accuracy: 0.7851 Error: 0.54177 Loss: 0.59488 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.25s\n",
            "1266880 Examples seen. Accuracy: 0.7851 Error: 0.64596 Loss: 0.79294 Threads: 2 Forward time: 0.72s Backward time: 0.39s Step time: 2.24s\n",
            "1267520 Examples seen. Accuracy: 0.7836 Error: 0.75294 Loss: 0.82062 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.24s\n",
            "1268160 Examples seen. Accuracy: 0.7832 Error: 0.67580 Loss: 0.77809 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.24s\n",
            "1268800 Examples seen. Accuracy: 0.7831 Error: 0.70731 Loss: 0.80799 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "1269440 Examples seen. Accuracy: 0.7825 Error: 0.56960 Loss: 0.57981 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "1270080 Examples seen. Accuracy: 0.7831 Error: 0.57833 Loss: 0.51488 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.23s\n",
            "1270720 Examples seen. Accuracy: 0.7850 Error: 0.58764 Loss: 0.54039 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.21s\n",
            "1271360 Examples seen. Accuracy: 0.7841 Error: 0.63652 Loss: 0.80827 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.23s\n",
            "1272000 Examples seen. Accuracy: 0.7826 Error: 0.64770 Loss: 0.86617 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.27s\n",
            "1272640 Examples seen. Accuracy: 0.7822 Error: 0.52765 Loss: 0.48528 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "1273280 Examples seen. Accuracy: 0.7797 Error: 0.46494 Loss: 0.42500 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.25s\n",
            "1273920 Examples seen. Accuracy: 0.7822 Error: 0.55058 Loss: 0.52238 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.27s\n",
            "1274560 Examples seen. Accuracy: 0.7810 Error: 0.59736 Loss: 0.60811 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.24s\n",
            "1275200 Examples seen. Accuracy: 0.7814 Error: 0.54648 Loss: 0.51191 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.24s\n",
            "1275840 Examples seen. Accuracy: 0.7817 Error: 0.52865 Loss: 0.64533 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.28s\n",
            "1276480 Examples seen. Accuracy: 0.7823 Error: 0.58322 Loss: 0.52430 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.31s\n",
            "1277120 Examples seen. Accuracy: 0.7810 Error: 0.53212 Loss: 0.54407 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.27s\n",
            "1277760 Examples seen. Accuracy: 0.7835 Error: 0.49180 Loss: 0.43472 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "1278400 Examples seen. Accuracy: 0.7844 Error: 0.43271 Loss: 0.44015 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.29s\n",
            "1279040 Examples seen. Accuracy: 0.7855 Error: 0.57346 Loss: 0.62711 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.28s\n",
            "1279680 Examples seen. Accuracy: 0.7850 Error: 0.59628 Loss: 0.69473 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.27s\n",
            "Starting Validation.\n",
            "Epochs: 32 Examples seen:1280000 Validation Accuracy: 0.8329 Validation Error: 0.4698 Validation Loss: 0.4996 Total time: 112.87min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.520 Min Weight:  -0.573 Max Output:  4.786 Min Output: -5.553 TNNetConvolutionLinear 32,32,64 Times: 30.83s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  4.786 Min Output: -1.217 TNNetMaxPool 8,8,64 Times: 7.00s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.847 Min Weight:   0.800 Max Output:  4.926 Min Output: -2.581 TNNetMovingStdNormalization 8,8,64 Times: 0.17s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.284 Min Weight:  -0.293 Max Output: 10.200 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.56s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.293 Min Weight:  -0.282 Max Output:  9.815 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.45s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.274 Min Weight:  -0.238 Max Output:  6.736 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.53s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.242 Min Weight:  -0.217 Max Output:  2.852 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.43s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  2.852 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.04s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  2.852 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.40s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.348 Min Weight:  -0.271 Max Output:  4.509 Min Output: -8.595 TNNetFullConnectLinear 10,1,1 Times: 0.11s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.565 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Epoch time: 2.3667 minutes. 50 epochs: 1.9722 hours.\n",
            "Epochs: 32. Working time: 1.88 hours.\n",
            "1280640 Examples seen. Accuracy: 0.7832 Error: 0.64585 Loss: 0.69587 Threads: 2 Forward time: 0.74s Backward time: 0.41s Step time: 2.28s\n",
            "1281280 Examples seen. Accuracy: 0.7843 Error: 0.61671 Loss: 0.70524 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.29s\n",
            "1281920 Examples seen. Accuracy: 0.7839 Error: 0.60757 Loss: 0.64053 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.34s\n",
            "1282560 Examples seen. Accuracy: 0.7855 Error: 0.47518 Loss: 0.43346 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.26s\n",
            "1283200 Examples seen. Accuracy: 0.7877 Error: 0.59297 Loss: 0.85653 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.28s\n",
            "1283840 Examples seen. Accuracy: 0.7895 Error: 0.52170 Loss: 0.44359 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.25s\n",
            "1284480 Examples seen. Accuracy: 0.7881 Error: 0.53714 Loss: 0.54465 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "1285120 Examples seen. Accuracy: 0.7874 Error: 0.58090 Loss: 0.53135 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.23s\n",
            "1285760 Examples seen. Accuracy: 0.7874 Error: 0.47550 Loss: 0.45915 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "1286400 Examples seen. Accuracy: 0.7866 Error: 0.64166 Loss: 0.78682 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.24s\n",
            "1287040 Examples seen. Accuracy: 0.7865 Error: 0.50802 Loss: 0.52723 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.25s\n",
            "1287680 Examples seen. Accuracy: 0.7898 Error: 0.60484 Loss: 0.63673 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.27s\n",
            "1288320 Examples seen. Accuracy: 0.7897 Error: 0.53018 Loss: 0.56199 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.27s\n",
            "1288960 Examples seen. Accuracy: 0.7865 Error: 0.61655 Loss: 0.61443 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.26s\n",
            "1289600 Examples seen. Accuracy: 0.7832 Error: 0.61269 Loss: 0.55876 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.27s\n",
            "1290240 Examples seen. Accuracy: 0.7863 Error: 0.57752 Loss: 0.67834 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.30s\n",
            "1290880 Examples seen. Accuracy: 0.7872 Error: 0.70037 Loss: 0.73452 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.29s\n",
            "1291520 Examples seen. Accuracy: 0.7911 Error: 0.50310 Loss: 0.50242 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.26s\n",
            "1292160 Examples seen. Accuracy: 0.7871 Error: 0.70449 Loss: 0.75903 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.26s\n",
            "1292800 Examples seen. Accuracy: 0.7881 Error: 0.65345 Loss: 0.72811 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "1293440 Examples seen. Accuracy: 0.7864 Error: 0.65485 Loss: 0.65287 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.26s\n",
            "1294080 Examples seen. Accuracy: 0.7883 Error: 0.59678 Loss: 0.56790 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.31s\n",
            "1294720 Examples seen. Accuracy: 0.7878 Error: 0.66222 Loss: 0.83246 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.31s\n",
            "1295360 Examples seen. Accuracy: 0.7895 Error: 0.46031 Loss: 0.37152 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.28s\n",
            "1296000 Examples seen. Accuracy: 0.7925 Error: 0.51558 Loss: 0.47107 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.32s\n",
            "1296640 Examples seen. Accuracy: 0.7907 Error: 0.62717 Loss: 0.71559 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.26s\n",
            "1297280 Examples seen. Accuracy: 0.7911 Error: 0.58214 Loss: 0.58279 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.27s\n",
            "1297920 Examples seen. Accuracy: 0.7923 Error: 0.57659 Loss: 0.71769 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1298560 Examples seen. Accuracy: 0.7951 Error: 0.57408 Loss: 0.49613 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.27s\n",
            "1299200 Examples seen. Accuracy: 0.7940 Error: 0.44094 Loss: 0.40444 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.27s\n",
            "1299840 Examples seen. Accuracy: 0.7934 Error: 0.59908 Loss: 0.75478 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.32s\n",
            "1300480 Examples seen. Accuracy: 0.7900 Error: 0.69863 Loss: 0.68214 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.31s\n",
            "1301120 Examples seen. Accuracy: 0.7893 Error: 0.42779 Loss: 0.34304 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.29s\n",
            "1301760 Examples seen. Accuracy: 0.7860 Error: 0.60575 Loss: 0.59497 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.28s\n",
            "1302400 Examples seen. Accuracy: 0.7869 Error: 0.59790 Loss: 0.64728 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.28s\n",
            "1303040 Examples seen. Accuracy: 0.7853 Error: 0.73767 Loss: 0.79526 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.26s\n",
            "1303680 Examples seen. Accuracy: 0.7838 Error: 0.67585 Loss: 0.65435 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "1304320 Examples seen. Accuracy: 0.7853 Error: 0.52065 Loss: 0.42431 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.27s\n",
            "1304960 Examples seen. Accuracy: 0.7861 Error: 0.36962 Loss: 0.45761 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.23s\n",
            "1305600 Examples seen. Accuracy: 0.7895 Error: 0.60682 Loss: 0.60567 Threads: 2 Forward time: 0.71s Backward time: 0.44s Step time: 2.29s\n",
            "1306240 Examples seen. Accuracy: 0.7884 Error: 0.66043 Loss: 0.75180 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.28s\n",
            "1306880 Examples seen. Accuracy: 0.7884 Error: 0.50895 Loss: 0.53755 Threads: 2 Forward time: 0.70s Backward time: 0.37s Step time: 2.25s\n",
            "1307520 Examples seen. Accuracy: 0.7872 Error: 0.62135 Loss: 0.63892 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.28s\n",
            "1308160 Examples seen. Accuracy: 0.7863 Error: 0.45117 Loss: 0.41081 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.26s\n",
            "1308800 Examples seen. Accuracy: 0.7856 Error: 0.51989 Loss: 0.44871 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.25s\n",
            "1309440 Examples seen. Accuracy: 0.7842 Error: 0.70024 Loss: 0.87309 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.25s\n",
            "1310080 Examples seen. Accuracy: 0.7844 Error: 0.51669 Loss: 0.46924 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.23s\n",
            "1310720 Examples seen. Accuracy: 0.7848 Error: 0.57813 Loss: 0.66389 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "1311360 Examples seen. Accuracy: 0.7871 Error: 0.46848 Loss: 0.52171 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.27s\n",
            "1312000 Examples seen. Accuracy: 0.7884 Error: 0.62824 Loss: 0.64377 Threads: 2 Forward time: 0.72s Backward time: 0.42s Step time: 2.30s\n",
            "1312640 Examples seen. Accuracy: 0.7890 Error: 0.51217 Loss: 0.53284 Threads: 2 Forward time: 0.67s Backward time: 0.45s Step time: 2.29s\n",
            "1313280 Examples seen. Accuracy: 0.7912 Error: 0.58014 Loss: 0.65342 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.29s\n",
            "1313920 Examples seen. Accuracy: 0.7947 Error: 0.42172 Loss: 0.47614 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.28s\n",
            "1314560 Examples seen. Accuracy: 0.7940 Error: 0.64409 Loss: 0.62473 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.29s\n",
            "1315200 Examples seen. Accuracy: 0.7945 Error: 0.42007 Loss: 0.39447 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.25s\n",
            "1315840 Examples seen. Accuracy: 0.7944 Error: 0.51635 Loss: 0.62484 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.26s\n",
            "1316480 Examples seen. Accuracy: 0.7935 Error: 0.46763 Loss: 0.57362 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "1317120 Examples seen. Accuracy: 0.7925 Error: 0.60232 Loss: 0.60671 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "1317760 Examples seen. Accuracy: 0.7912 Error: 0.58365 Loss: 0.57285 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.24s\n",
            "1318400 Examples seen. Accuracy: 0.7914 Error: 0.60825 Loss: 0.61843 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "1319040 Examples seen. Accuracy: 0.7936 Error: 0.36862 Loss: 0.30941 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.24s\n",
            "1319680 Examples seen. Accuracy: 0.7911 Error: 0.53451 Loss: 0.47788 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.27s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 33 Examples seen:1320000 Validation Accuracy: 0.8353 Validation Error: 0.4672 Validation Loss: 0.4969 Total time: 116.31min\n",
            "Epoch time: 2.3656 minutes. 50 epochs: 1.9714 hours.\n",
            "Epochs: 33. Working time: 1.94 hours.\n",
            "1320640 Examples seen. Accuracy: 0.7906 Error: 0.53081 Loss: 0.54587 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.26s\n",
            "1321280 Examples seen. Accuracy: 0.7917 Error: 0.63764 Loss: 0.69533 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.24s\n",
            "1321920 Examples seen. Accuracy: 0.7936 Error: 0.46233 Loss: 0.40093 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.28s\n",
            "1322560 Examples seen. Accuracy: 0.7922 Error: 0.67207 Loss: 0.76874 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.25s\n",
            "1323200 Examples seen. Accuracy: 0.7914 Error: 0.53289 Loss: 0.55294 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.24s\n",
            "1323840 Examples seen. Accuracy: 0.7892 Error: 0.52619 Loss: 0.68985 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.26s\n",
            "1324480 Examples seen. Accuracy: 0.7894 Error: 0.54905 Loss: 0.58755 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.22s\n",
            "1325120 Examples seen. Accuracy: 0.7892 Error: 0.50748 Loss: 0.51020 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "1325760 Examples seen. Accuracy: 0.7916 Error: 0.57824 Loss: 0.56624 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.23s\n",
            "1326400 Examples seen. Accuracy: 0.7924 Error: 0.61998 Loss: 0.69956 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.24s\n",
            "1327040 Examples seen. Accuracy: 0.7929 Error: 0.55754 Loss: 0.56295 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.25s\n",
            "1327680 Examples seen. Accuracy: 0.7925 Error: 0.54066 Loss: 0.54614 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.23s\n",
            "1328320 Examples seen. Accuracy: 0.7922 Error: 0.58956 Loss: 0.56415 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.26s\n",
            "1328960 Examples seen. Accuracy: 0.7887 Error: 0.54197 Loss: 0.67557 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.26s\n",
            "1329600 Examples seen. Accuracy: 0.7877 Error: 0.44009 Loss: 0.34554 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.25s\n",
            "1330240 Examples seen. Accuracy: 0.7890 Error: 0.43382 Loss: 0.40314 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.28s\n",
            "1330880 Examples seen. Accuracy: 0.7880 Error: 0.62319 Loss: 0.63072 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.30s\n",
            "1331520 Examples seen. Accuracy: 0.7888 Error: 0.70559 Loss: 0.63921 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.27s\n",
            "1332160 Examples seen. Accuracy: 0.7883 Error: 0.57248 Loss: 0.74999 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.29s\n",
            "1332800 Examples seen. Accuracy: 0.7859 Error: 0.57180 Loss: 0.57545 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.29s\n",
            "1333440 Examples seen. Accuracy: 0.7854 Error: 0.43697 Loss: 0.37849 Threads: 2 Forward time: 0.70s Backward time: 0.38s Step time: 2.28s\n",
            "1334080 Examples seen. Accuracy: 0.7840 Error: 0.60208 Loss: 0.56056 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.26s\n",
            "1334720 Examples seen. Accuracy: 0.7837 Error: 0.75670 Loss: 0.72626 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.26s\n",
            "1335360 Examples seen. Accuracy: 0.7844 Error: 0.47922 Loss: 0.43309 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.26s\n",
            "1336000 Examples seen. Accuracy: 0.7831 Error: 0.54498 Loss: 0.50272 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.26s\n",
            "1336640 Examples seen. Accuracy: 0.7853 Error: 0.55214 Loss: 0.54320 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.26s\n",
            "1337280 Examples seen. Accuracy: 0.7874 Error: 0.62943 Loss: 0.78451 Threads: 2 Forward time: 0.70s Backward time: 0.44s Step time: 2.32s\n",
            "1337920 Examples seen. Accuracy: 0.7876 Error: 0.60653 Loss: 0.65194 Threads: 2 Forward time: 0.72s Backward time: 0.41s Step time: 2.36s\n",
            "1338560 Examples seen. Accuracy: 0.7861 Error: 0.63837 Loss: 0.61434 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.32s\n",
            "1339200 Examples seen. Accuracy: 0.7865 Error: 0.52642 Loss: 0.46827 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.30s\n",
            "1339840 Examples seen. Accuracy: 0.7861 Error: 0.62272 Loss: 0.70624 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.27s\n",
            "1340480 Examples seen. Accuracy: 0.7862 Error: 0.55882 Loss: 0.48922 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.26s\n",
            "1341120 Examples seen. Accuracy: 0.7891 Error: 0.67534 Loss: 0.67404 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.27s\n",
            "1341760 Examples seen. Accuracy: 0.7875 Error: 0.53217 Loss: 0.49085 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.27s\n",
            "1342400 Examples seen. Accuracy: 0.7871 Error: 0.52482 Loss: 0.57882 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.29s\n",
            "1343040 Examples seen. Accuracy: 0.7879 Error: 0.50817 Loss: 0.51205 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.30s\n",
            "1343680 Examples seen. Accuracy: 0.7894 Error: 0.71266 Loss: 0.76258 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.28s\n",
            "1344320 Examples seen. Accuracy: 0.7901 Error: 0.50584 Loss: 0.42748 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.28s\n",
            "1344960 Examples seen. Accuracy: 0.7886 Error: 0.44178 Loss: 0.44868 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.25s\n",
            "1345600 Examples seen. Accuracy: 0.7877 Error: 0.60253 Loss: 0.61629 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.26s\n",
            "1346240 Examples seen. Accuracy: 0.7858 Error: 0.46678 Loss: 0.36829 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.25s\n",
            "1346880 Examples seen. Accuracy: 0.7864 Error: 0.49625 Loss: 0.57179 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.32s\n",
            "1347520 Examples seen. Accuracy: 0.7856 Error: 0.56962 Loss: 0.51950 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.29s\n",
            "1348160 Examples seen. Accuracy: 0.7869 Error: 0.41979 Loss: 0.40398 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.26s\n",
            "1348800 Examples seen. Accuracy: 0.7879 Error: 0.52735 Loss: 0.65224 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.25s\n",
            "1349440 Examples seen. Accuracy: 0.7880 Error: 0.52790 Loss: 0.57884 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.28s\n",
            "1350080 Examples seen. Accuracy: 0.7902 Error: 0.43375 Loss: 0.47981 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.25s\n",
            "1350720 Examples seen. Accuracy: 0.7901 Error: 0.76934 Loss: 0.74440 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "1351360 Examples seen. Accuracy: 0.7894 Error: 0.52292 Loss: 0.56203 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1352000 Examples seen. Accuracy: 0.7917 Error: 0.45565 Loss: 0.46184 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.25s\n",
            "1352640 Examples seen. Accuracy: 0.7918 Error: 0.61015 Loss: 0.87905 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.29s\n",
            "1353280 Examples seen. Accuracy: 0.7898 Error: 0.57097 Loss: 0.65333 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.26s\n",
            "1353920 Examples seen. Accuracy: 0.7936 Error: 0.48828 Loss: 0.49402 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.24s\n",
            "1354560 Examples seen. Accuracy: 0.7947 Error: 0.51336 Loss: 0.54540 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.26s\n",
            "1355200 Examples seen. Accuracy: 0.7927 Error: 0.62883 Loss: 0.57372 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.24s\n",
            "1355840 Examples seen. Accuracy: 0.7930 Error: 0.43752 Loss: 0.45187 Threads: 2 Forward time: 0.72s Backward time: 0.43s Step time: 2.27s\n",
            "1356480 Examples seen. Accuracy: 0.7933 Error: 0.39392 Loss: 0.41745 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.25s\n",
            "1357120 Examples seen. Accuracy: 0.7932 Error: 0.47532 Loss: 0.45899 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.23s\n",
            "1357760 Examples seen. Accuracy: 0.7921 Error: 0.53262 Loss: 0.53002 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.23s\n",
            "1358400 Examples seen. Accuracy: 0.7923 Error: 0.56730 Loss: 0.47916 Threads: 2 Forward time: 0.72s Backward time: 0.42s Step time: 2.30s\n",
            "1359040 Examples seen. Accuracy: 0.7900 Error: 0.67767 Loss: 0.79810 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.26s\n",
            "1359680 Examples seen. Accuracy: 0.7905 Error: 0.48715 Loss: 0.47946 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.23s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 34 Examples seen:1360000 Validation Accuracy: 0.8358 Validation Error: 0.4639 Validation Loss: 0.4947 Total time: 119.74min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.531 Min Weight:  -0.584 Max Output:  4.877 Min Output: -5.516 TNNetConvolutionLinear 32,32,64 Times: 30.56s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  4.877 Min Output: -1.259 TNNetMaxPool 8,8,64 Times: 6.99s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.859 Min Weight:   0.813 Max Output:  4.941 Min Output: -2.604 TNNetMovingStdNormalization 8,8,64 Times: 0.14s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.287 Min Weight:  -0.305 Max Output: 10.358 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.44s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.300 Min Weight:  -0.293 Max Output: 10.262 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.27s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.281 Min Weight:  -0.239 Max Output:  7.517 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.41s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.246 Min Weight:  -0.215 Max Output:  3.048 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.42s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  3.048 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.04s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  3.048 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.42s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.347 Min Weight:  -0.268 Max Output:  4.734 Min Output: -9.179 TNNetFullConnectLinear 10,1,1 Times: 0.10s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.596 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Epoch time: 2.3219 minutes. 50 epochs: 1.9349 hours.\n",
            "Epochs: 34. Working time: 2.00 hours.\n",
            "1360640 Examples seen. Accuracy: 0.7904 Error: 0.66551 Loss: 0.77258 Threads: 2 Forward time: 0.72s Backward time: 0.41s Step time: 2.31s\n",
            "1361280 Examples seen. Accuracy: 0.7893 Error: 0.60228 Loss: 0.67187 Threads: 2 Forward time: 0.75s Backward time: 0.40s Step time: 2.29s\n",
            "1361920 Examples seen. Accuracy: 0.7885 Error: 0.47757 Loss: 0.51428 Threads: 2 Forward time: 0.72s Backward time: 0.39s Step time: 2.29s\n",
            "1362560 Examples seen. Accuracy: 0.7899 Error: 0.64353 Loss: 0.73542 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.29s\n",
            "1363200 Examples seen. Accuracy: 0.7938 Error: 0.42913 Loss: 0.53795 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.30s\n",
            "1363840 Examples seen. Accuracy: 0.7930 Error: 0.53567 Loss: 0.56472 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.26s\n",
            "1364480 Examples seen. Accuracy: 0.7929 Error: 0.47312 Loss: 0.46882 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.27s\n",
            "1365120 Examples seen. Accuracy: 0.7896 Error: 0.53248 Loss: 0.55358 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.33s\n",
            "1365760 Examples seen. Accuracy: 0.7913 Error: 0.51667 Loss: 0.54214 Threads: 2 Forward time: 0.70s Backward time: 0.45s Step time: 2.30s\n",
            "1366400 Examples seen. Accuracy: 0.7898 Error: 0.60868 Loss: 0.59832 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.33s\n",
            "1367040 Examples seen. Accuracy: 0.7895 Error: 0.55792 Loss: 0.63774 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.35s\n",
            "1367680 Examples seen. Accuracy: 0.7903 Error: 0.68655 Loss: 0.78163 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.33s\n",
            "1368320 Examples seen. Accuracy: 0.7885 Error: 0.63714 Loss: 0.68270 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.31s\n",
            "1368960 Examples seen. Accuracy: 0.7876 Error: 0.57575 Loss: 0.63247 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.32s\n",
            "1369600 Examples seen. Accuracy: 0.7886 Error: 0.74258 Loss: 0.91724 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.30s\n",
            "1370240 Examples seen. Accuracy: 0.7857 Error: 0.75369 Loss: 1.01436 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.35s\n",
            "1370880 Examples seen. Accuracy: 0.7871 Error: 0.56847 Loss: 0.56136 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.37s\n",
            "1371520 Examples seen. Accuracy: 0.7876 Error: 0.58679 Loss: 0.62115 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.31s\n",
            "1372160 Examples seen. Accuracy: 0.7861 Error: 0.69325 Loss: 0.73734 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.29s\n",
            "1372800 Examples seen. Accuracy: 0.7870 Error: 0.55757 Loss: 0.56305 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.29s\n",
            "1373440 Examples seen. Accuracy: 0.7897 Error: 0.53923 Loss: 0.55133 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.32s\n",
            "1374080 Examples seen. Accuracy: 0.7915 Error: 0.41593 Loss: 0.44189 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.27s\n",
            "1374720 Examples seen. Accuracy: 0.7926 Error: 0.44439 Loss: 0.37935 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.29s\n",
            "1375360 Examples seen. Accuracy: 0.7926 Error: 0.48982 Loss: 0.47245 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.29s\n",
            "1376000 Examples seen. Accuracy: 0.7918 Error: 0.62969 Loss: 0.91535 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.28s\n",
            "1376640 Examples seen. Accuracy: 0.7948 Error: 0.59784 Loss: 0.64116 Threads: 2 Forward time: 0.72s Backward time: 0.41s Step time: 2.28s\n",
            "1377280 Examples seen. Accuracy: 0.7954 Error: 0.44505 Loss: 0.44538 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.39s\n",
            "1377920 Examples seen. Accuracy: 0.7974 Error: 0.47687 Loss: 0.42464 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.27s\n",
            "1378560 Examples seen. Accuracy: 0.7950 Error: 0.46202 Loss: 0.48478 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.29s\n",
            "1379200 Examples seen. Accuracy: 0.7921 Error: 0.62656 Loss: 0.57290 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.28s\n",
            "1379840 Examples seen. Accuracy: 0.7911 Error: 0.52512 Loss: 0.43350 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.28s\n",
            "1380480 Examples seen. Accuracy: 0.7949 Error: 0.45741 Loss: 0.49912 Threads: 2 Forward time: 0.70s Backward time: 0.38s Step time: 2.27s\n",
            "1381120 Examples seen. Accuracy: 0.7921 Error: 0.53146 Loss: 0.51007 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.28s\n",
            "1381760 Examples seen. Accuracy: 0.7928 Error: 0.52270 Loss: 0.56671 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.37s\n",
            "1382400 Examples seen. Accuracy: 0.7944 Error: 0.58356 Loss: 0.57412 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.28s\n",
            "1383040 Examples seen. Accuracy: 0.7940 Error: 0.74110 Loss: 0.82604 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.29s\n",
            "1383680 Examples seen. Accuracy: 0.7940 Error: 0.67915 Loss: 0.80165 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.27s\n",
            "1384320 Examples seen. Accuracy: 0.7960 Error: 0.55723 Loss: 0.58448 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.29s\n",
            "1384960 Examples seen. Accuracy: 0.7951 Error: 0.49551 Loss: 0.46810 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.28s\n",
            "1385600 Examples seen. Accuracy: 0.7968 Error: 0.62934 Loss: 0.89585 Threads: 2 Forward time: 0.70s Backward time: 0.46s Step time: 2.29s\n",
            "1386240 Examples seen. Accuracy: 0.7942 Error: 0.61803 Loss: 0.55267 Threads: 2 Forward time: 0.70s Backward time: 0.47s Step time: 2.44s\n",
            "1386880 Examples seen. Accuracy: 0.7925 Error: 0.40230 Loss: 0.39612 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.33s\n",
            "1387520 Examples seen. Accuracy: 0.7933 Error: 0.60803 Loss: 0.75251 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.32s\n",
            "1388160 Examples seen. Accuracy: 0.7930 Error: 0.69201 Loss: 0.77757 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.26s\n",
            "1388800 Examples seen. Accuracy: 0.7913 Error: 0.63678 Loss: 0.72920 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1389440 Examples seen. Accuracy: 0.7923 Error: 0.36882 Loss: 0.28884 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1390080 Examples seen. Accuracy: 0.7945 Error: 0.48729 Loss: 0.46907 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.28s\n",
            "1390720 Examples seen. Accuracy: 0.7958 Error: 0.42891 Loss: 0.45197 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.27s\n",
            "1391360 Examples seen. Accuracy: 0.7944 Error: 0.41582 Loss: 0.33006 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.24s\n",
            "1392000 Examples seen. Accuracy: 0.7927 Error: 0.53415 Loss: 0.51557 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.25s\n",
            "1392640 Examples seen. Accuracy: 0.7920 Error: 0.58877 Loss: 0.60200 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.27s\n",
            "1393280 Examples seen. Accuracy: 0.7918 Error: 0.50087 Loss: 0.51002 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.27s\n",
            "1393920 Examples seen. Accuracy: 0.7913 Error: 0.59471 Loss: 0.60634 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.27s\n",
            "1394560 Examples seen. Accuracy: 0.7919 Error: 0.62774 Loss: 0.73920 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.26s\n",
            "1395200 Examples seen. Accuracy: 0.7892 Error: 0.49100 Loss: 0.46820 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.29s\n",
            "1395840 Examples seen. Accuracy: 0.7896 Error: 0.67802 Loss: 0.67544 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.28s\n",
            "1396480 Examples seen. Accuracy: 0.7885 Error: 0.56594 Loss: 0.58914 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.25s\n",
            "1397120 Examples seen. Accuracy: 0.7841 Error: 0.70194 Loss: 0.67783 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.27s\n",
            "1397760 Examples seen. Accuracy: 0.7861 Error: 0.54178 Loss: 0.52979 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.27s\n",
            "1398400 Examples seen. Accuracy: 0.7854 Error: 0.47421 Loss: 0.47343 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.29s\n",
            "1399040 Examples seen. Accuracy: 0.7868 Error: 0.53248 Loss: 0.52474 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.29s\n",
            "1399680 Examples seen. Accuracy: 0.7859 Error: 0.53881 Loss: 0.53190 Threads: 2 Forward time: 0.72s Backward time: 0.45s Step time: 2.33s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 35 Examples seen:1400000 Validation Accuracy: 0.8376 Validation Error: 0.4603 Validation Loss: 0.4909 Total time: 123.20min\n",
            "Epoch time: 2.4302 minutes. 50 epochs: 2.0252 hours.\n",
            "Epochs: 35. Working time: 2.05 hours.\n",
            "1400640 Examples seen. Accuracy: 0.7871 Error: 0.37644 Loss: 0.33547 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1401280 Examples seen. Accuracy: 0.7890 Error: 0.49524 Loss: 0.45575 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.26s\n",
            "1401920 Examples seen. Accuracy: 0.7863 Error: 0.53770 Loss: 0.55959 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.27s\n",
            "1402560 Examples seen. Accuracy: 0.7884 Error: 0.38910 Loss: 0.38086 Threads: 2 Forward time: 0.73s Backward time: 0.41s Step time: 2.30s\n",
            "1403200 Examples seen. Accuracy: 0.7862 Error: 0.55090 Loss: 0.52832 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.29s\n",
            "1403840 Examples seen. Accuracy: 0.7871 Error: 0.46407 Loss: 0.54209 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.32s\n",
            "1404480 Examples seen. Accuracy: 0.7879 Error: 0.60326 Loss: 0.55161 Threads: 2 Forward time: 0.71s Backward time: 0.46s Step time: 2.46s\n",
            "1405120 Examples seen. Accuracy: 0.7883 Error: 0.61148 Loss: 0.64802 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.31s\n",
            "1405760 Examples seen. Accuracy: 0.7879 Error: 0.37844 Loss: 0.40931 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.28s\n",
            "1406400 Examples seen. Accuracy: 0.7911 Error: 0.42469 Loss: 0.38576 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.27s\n",
            "1407040 Examples seen. Accuracy: 0.7854 Error: 0.54161 Loss: 0.48758 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.27s\n",
            "1407680 Examples seen. Accuracy: 0.7879 Error: 0.51393 Loss: 0.61240 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1408320 Examples seen. Accuracy: 0.7884 Error: 0.64943 Loss: 0.67040 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.25s\n",
            "1408960 Examples seen. Accuracy: 0.7899 Error: 0.63990 Loss: 0.70231 Threads: 2 Forward time: 0.73s Backward time: 0.44s Step time: 2.39s\n",
            "1409600 Examples seen. Accuracy: 0.7917 Error: 0.51016 Loss: 0.55920 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.34s\n",
            "1410240 Examples seen. Accuracy: 0.7934 Error: 0.58073 Loss: 0.71511 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.27s\n",
            "1410880 Examples seen. Accuracy: 0.7925 Error: 0.62490 Loss: 0.66567 Threads: 2 Forward time: 0.73s Backward time: 0.50s Step time: 2.41s\n",
            "1411520 Examples seen. Accuracy: 0.7940 Error: 0.43440 Loss: 0.48871 Threads: 2 Forward time: 0.74s Backward time: 0.40s Step time: 2.36s\n",
            "1412160 Examples seen. Accuracy: 0.7920 Error: 0.65292 Loss: 0.64483 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1412800 Examples seen. Accuracy: 0.7921 Error: 0.52433 Loss: 0.49698 Threads: 2 Forward time: 0.75s Backward time: 0.45s Step time: 2.43s\n",
            "1413440 Examples seen. Accuracy: 0.7919 Error: 0.58720 Loss: 0.57653 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.31s\n",
            "1414080 Examples seen. Accuracy: 0.7929 Error: 0.59628 Loss: 0.55744 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.25s\n",
            "1414720 Examples seen. Accuracy: 0.7929 Error: 0.58368 Loss: 0.55869 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.26s\n",
            "1415360 Examples seen. Accuracy: 0.7948 Error: 0.50377 Loss: 0.42479 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.27s\n",
            "1416000 Examples seen. Accuracy: 0.7955 Error: 0.50471 Loss: 0.58178 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.27s\n",
            "1416640 Examples seen. Accuracy: 0.7946 Error: 0.60126 Loss: 0.67530 Threads: 2 Forward time: 0.72s Backward time: 0.43s Step time: 2.32s\n",
            "1417280 Examples seen. Accuracy: 0.7974 Error: 0.55261 Loss: 0.53645 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.31s\n",
            "1417920 Examples seen. Accuracy: 0.7964 Error: 0.53559 Loss: 0.56596 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.35s\n",
            "1418560 Examples seen. Accuracy: 0.7969 Error: 0.44782 Loss: 0.44811 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.34s\n",
            "1419200 Examples seen. Accuracy: 0.7970 Error: 0.52728 Loss: 0.43709 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.29s\n",
            "1419840 Examples seen. Accuracy: 0.7973 Error: 0.55616 Loss: 0.65602 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.40s\n",
            "1420480 Examples seen. Accuracy: 0.7956 Error: 0.58492 Loss: 0.71418 Threads: 2 Forward time: 0.75s Backward time: 0.41s Step time: 2.34s\n",
            "1421120 Examples seen. Accuracy: 0.7954 Error: 0.63406 Loss: 0.69189 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.29s\n",
            "1421760 Examples seen. Accuracy: 0.7964 Error: 0.54953 Loss: 0.57893 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "1422400 Examples seen. Accuracy: 0.7968 Error: 0.53412 Loss: 0.66629 Threads: 2 Forward time: 0.70s Backward time: 0.37s Step time: 2.26s\n",
            "1423040 Examples seen. Accuracy: 0.7970 Error: 0.65509 Loss: 0.63397 Threads: 2 Forward time: 0.73s Backward time: 0.38s Step time: 2.26s\n",
            "1423680 Examples seen. Accuracy: 0.7960 Error: 0.70441 Loss: 0.73984 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1424320 Examples seen. Accuracy: 0.7966 Error: 0.62869 Loss: 0.59629 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.23s\n",
            "1424960 Examples seen. Accuracy: 0.7958 Error: 0.55503 Loss: 0.57796 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.25s\n",
            "1425600 Examples seen. Accuracy: 0.7982 Error: 0.46773 Loss: 0.44526 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.27s\n",
            "1426240 Examples seen. Accuracy: 0.7983 Error: 0.53743 Loss: 0.59502 Threads: 2 Forward time: 0.74s Backward time: 0.41s Step time: 2.28s\n",
            "1426880 Examples seen. Accuracy: 0.7995 Error: 0.52315 Loss: 0.64188 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.29s\n",
            "1427520 Examples seen. Accuracy: 0.8011 Error: 0.59131 Loss: 0.59088 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.39s\n",
            "1428160 Examples seen. Accuracy: 0.7991 Error: 0.41332 Loss: 0.39919 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.31s\n",
            "1428800 Examples seen. Accuracy: 0.7987 Error: 0.51351 Loss: 0.57141 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.28s\n",
            "1429440 Examples seen. Accuracy: 0.7975 Error: 0.57176 Loss: 0.76234 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.26s\n",
            "1430080 Examples seen. Accuracy: 0.7966 Error: 0.54578 Loss: 0.53978 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.25s\n",
            "1430720 Examples seen. Accuracy: 0.7971 Error: 0.59388 Loss: 0.70533 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.25s\n",
            "1431360 Examples seen. Accuracy: 0.7976 Error: 0.48014 Loss: 0.44289 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1432000 Examples seen. Accuracy: 0.7974 Error: 0.42022 Loss: 0.37017 Threads: 2 Forward time: 0.66s Backward time: 0.44s Step time: 2.27s\n",
            "1432640 Examples seen. Accuracy: 0.7971 Error: 0.44046 Loss: 0.39711 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1433280 Examples seen. Accuracy: 0.7944 Error: 0.70855 Loss: 0.81025 Threads: 2 Forward time: 0.70s Backward time: 0.38s Step time: 2.26s\n",
            "1433920 Examples seen. Accuracy: 0.7954 Error: 0.55763 Loss: 0.58168 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "1434560 Examples seen. Accuracy: 0.7952 Error: 0.49613 Loss: 0.47579 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.29s\n",
            "1435200 Examples seen. Accuracy: 0.7937 Error: 0.58339 Loss: 0.58682 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.28s\n",
            "1435840 Examples seen. Accuracy: 0.7919 Error: 0.57869 Loss: 0.59606 Threads: 2 Forward time: 0.76s Backward time: 0.41s Step time: 2.31s\n",
            "1436480 Examples seen. Accuracy: 0.7929 Error: 0.37381 Loss: 0.34753 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.25s\n",
            "1437120 Examples seen. Accuracy: 0.7932 Error: 0.49441 Loss: 0.52788 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.28s\n",
            "1437760 Examples seen. Accuracy: 0.7940 Error: 0.48157 Loss: 0.39509 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.28s\n",
            "1438400 Examples seen. Accuracy: 0.7939 Error: 0.48748 Loss: 0.49990 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "1439040 Examples seen. Accuracy: 0.7972 Error: 0.50280 Loss: 0.39764 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.25s\n",
            "1439680 Examples seen. Accuracy: 0.7945 Error: 0.71343 Loss: 0.84558 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.27s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 36 Examples seen:1440000 Validation Accuracy: 0.8388 Validation Error: 0.4580 Validation Loss: 0.4900 Total time: 126.64min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.541 Min Weight:  -0.592 Max Output:  4.994 Min Output: -5.543 TNNetConvolutionLinear 32,32,64 Times: 30.23s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  4.994 Min Output: -1.173 TNNetMaxPool 8,8,64 Times: 7.00s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.871 Min Weight:   0.826 Max Output:  4.990 Min Output: -2.474 TNNetMovingStdNormalization 8,8,64 Times: 0.16s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.287 Min Weight:  -0.317 Max Output: 10.400 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.27s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.309 Min Weight:  -0.301 Max Output: 10.716 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.21s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.284 Min Weight:  -0.241 Max Output:  7.928 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.32s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.241 Min Weight:  -0.215 Max Output:  3.236 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.33s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  3.236 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.03s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  3.236 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.37s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.346 Min Weight:  -0.267 Max Output:  5.029 Min Output: -10.083 TNNetFullConnectLinear 10,1,1 Times: 0.12s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.582 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Epoch time: 2.3635 minutes. 50 epochs: 1.9696 hours.\n",
            "Epochs: 36. Working time: 2.11 hours.\n",
            "1440640 Examples seen. Accuracy: 0.7952 Error: 0.48482 Loss: 0.42991 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.29s\n",
            "1441280 Examples seen. Accuracy: 0.7974 Error: 0.67418 Loss: 0.67974 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.27s\n",
            "1441920 Examples seen. Accuracy: 0.7988 Error: 0.66769 Loss: 0.87548 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.28s\n",
            "1442560 Examples seen. Accuracy: 0.7974 Error: 0.50733 Loss: 0.49361 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.25s\n",
            "1443200 Examples seen. Accuracy: 0.7965 Error: 0.57954 Loss: 0.55871 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.23s\n",
            "1443840 Examples seen. Accuracy: 0.7961 Error: 0.59387 Loss: 0.67577 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.25s\n",
            "1444480 Examples seen. Accuracy: 0.7965 Error: 0.54834 Loss: 0.51276 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.25s\n",
            "1445120 Examples seen. Accuracy: 0.7955 Error: 0.57495 Loss: 0.54622 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.25s\n",
            "1445760 Examples seen. Accuracy: 0.7956 Error: 0.57268 Loss: 0.68491 Threads: 2 Forward time: 0.68s Backward time: 0.46s Step time: 2.29s\n",
            "1446400 Examples seen. Accuracy: 0.7956 Error: 0.58457 Loss: 0.57786 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.27s\n",
            "1447040 Examples seen. Accuracy: 0.7944 Error: 0.60213 Loss: 0.74947 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.28s\n",
            "1447680 Examples seen. Accuracy: 0.7976 Error: 0.52798 Loss: 0.55201 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.29s\n",
            "1448320 Examples seen. Accuracy: 0.7956 Error: 0.58146 Loss: 0.60742 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.29s\n",
            "1448960 Examples seen. Accuracy: 0.7945 Error: 0.62271 Loss: 0.64394 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.28s\n",
            "1449600 Examples seen. Accuracy: 0.7932 Error: 0.48969 Loss: 0.64876 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.26s\n",
            "1450240 Examples seen. Accuracy: 0.7898 Error: 0.46913 Loss: 0.50004 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "1450880 Examples seen. Accuracy: 0.7896 Error: 0.61804 Loss: 0.71222 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.27s\n",
            "1451520 Examples seen. Accuracy: 0.7906 Error: 0.65456 Loss: 0.70613 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.32s\n",
            "1452160 Examples seen. Accuracy: 0.7901 Error: 0.65538 Loss: 0.65123 Threads: 2 Forward time: 0.89s Backward time: 0.59s Step time: 2.64s\n",
            "1452800 Examples seen. Accuracy: 0.7934 Error: 0.54640 Loss: 0.68874 Threads: 2 Forward time: 0.74s Backward time: 0.45s Step time: 2.64s\n",
            "1453440 Examples seen. Accuracy: 0.7934 Error: 0.68985 Loss: 0.84280 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.43s\n",
            "1454080 Examples seen. Accuracy: 0.7917 Error: 0.46903 Loss: 0.42788 Threads: 2 Forward time: 0.70s Backward time: 0.44s Step time: 2.30s\n",
            "1454720 Examples seen. Accuracy: 0.7950 Error: 0.50513 Loss: 0.49651 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1455360 Examples seen. Accuracy: 0.7969 Error: 0.44944 Loss: 0.49679 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.28s\n",
            "1456000 Examples seen. Accuracy: 0.7944 Error: 0.64455 Loss: 0.58242 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.27s\n",
            "1456640 Examples seen. Accuracy: 0.7930 Error: 0.54146 Loss: 0.50384 Threads: 2 Forward time: 0.85s Backward time: 0.54s Step time: 2.35s\n",
            "1457280 Examples seen. Accuracy: 0.7899 Error: 0.79088 Loss: 0.99216 Threads: 2 Forward time: 0.74s Backward time: 0.44s Step time: 2.78s\n",
            "1457920 Examples seen. Accuracy: 0.7920 Error: 0.60145 Loss: 0.66871 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.30s\n",
            "1458560 Examples seen. Accuracy: 0.7927 Error: 0.53262 Loss: 0.50378 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.30s\n",
            "1459200 Examples seen. Accuracy: 0.7950 Error: 0.58732 Loss: 0.75836 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.27s\n",
            "1459840 Examples seen. Accuracy: 0.7958 Error: 0.52407 Loss: 0.49234 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.27s\n",
            "1460480 Examples seen. Accuracy: 0.7943 Error: 0.72053 Loss: 0.87277 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.26s\n",
            "1461120 Examples seen. Accuracy: 0.7940 Error: 0.48818 Loss: 0.45383 Threads: 2 Forward time: 0.77s Backward time: 0.42s Step time: 2.33s\n",
            "1461760 Examples seen. Accuracy: 0.7923 Error: 0.53458 Loss: 0.54493 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.29s\n",
            "1462400 Examples seen. Accuracy: 0.7919 Error: 0.61114 Loss: 0.70675 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.29s\n",
            "1463040 Examples seen. Accuracy: 0.7926 Error: 0.47122 Loss: 0.48614 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1463680 Examples seen. Accuracy: 0.7914 Error: 0.45540 Loss: 0.38718 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.26s\n",
            "1464320 Examples seen. Accuracy: 0.7904 Error: 0.59693 Loss: 0.85783 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "1464960 Examples seen. Accuracy: 0.7929 Error: 0.45974 Loss: 0.53702 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.25s\n",
            "1465600 Examples seen. Accuracy: 0.7940 Error: 0.54415 Loss: 0.59026 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1466240 Examples seen. Accuracy: 0.7946 Error: 0.63333 Loss: 0.78580 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.25s\n",
            "1466880 Examples seen. Accuracy: 0.7955 Error: 0.58113 Loss: 0.61179 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.28s\n",
            "1467520 Examples seen. Accuracy: 0.7961 Error: 0.64805 Loss: 0.65126 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.29s\n",
            "1468160 Examples seen. Accuracy: 0.7967 Error: 0.53687 Loss: 0.55177 Threads: 2 Forward time: 0.71s Backward time: 0.38s Step time: 2.27s\n",
            "1468800 Examples seen. Accuracy: 0.7973 Error: 0.48581 Loss: 0.47481 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.29s\n",
            "1469440 Examples seen. Accuracy: 0.7950 Error: 0.61200 Loss: 0.70640 Threads: 2 Forward time: 0.71s Backward time: 0.45s Step time: 2.28s\n",
            "1470080 Examples seen. Accuracy: 0.7955 Error: 0.48118 Loss: 0.56702 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.43s\n",
            "1470720 Examples seen. Accuracy: 0.7969 Error: 0.41658 Loss: 0.39986 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.26s\n",
            "1471360 Examples seen. Accuracy: 0.7975 Error: 0.46686 Loss: 0.47597 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1472000 Examples seen. Accuracy: 0.7963 Error: 0.56651 Loss: 0.69081 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.25s\n",
            "1472640 Examples seen. Accuracy: 0.7945 Error: 0.50877 Loss: 0.49074 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "1473280 Examples seen. Accuracy: 0.7935 Error: 0.58653 Loss: 0.54966 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.23s\n",
            "1473920 Examples seen. Accuracy: 0.7962 Error: 0.51447 Loss: 0.62124 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.24s\n",
            "1474560 Examples seen. Accuracy: 0.7948 Error: 0.56459 Loss: 0.66240 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.30s\n",
            "1475200 Examples seen. Accuracy: 0.7936 Error: 0.63402 Loss: 0.61693 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.28s\n",
            "1475840 Examples seen. Accuracy: 0.7927 Error: 0.62608 Loss: 0.66371 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "1476480 Examples seen. Accuracy: 0.7924 Error: 0.56012 Loss: 0.49800 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.24s\n",
            "1477120 Examples seen. Accuracy: 0.7909 Error: 0.51056 Loss: 0.47419 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.33s\n",
            "1477760 Examples seen. Accuracy: 0.7913 Error: 0.51500 Loss: 0.50281 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.29s\n",
            "1478400 Examples seen. Accuracy: 0.7897 Error: 0.46979 Loss: 0.46062 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.26s\n",
            "1479040 Examples seen. Accuracy: 0.7902 Error: 0.69819 Loss: 0.76152 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.27s\n",
            "1479680 Examples seen. Accuracy: 0.7904 Error: 0.55448 Loss: 0.53793 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.25s\n",
            "Starting Validation.\n",
            "Epochs: 37 Examples seen:1480000 Validation Accuracy: 0.8380 Validation Error: 0.4552 Validation Loss: 0.4877 Total time: 130.08min\n",
            "Epoch time: 2.3458 minutes. 50 epochs: 1.9549 hours.\n",
            "Epochs: 37. Working time: 2.17 hours.\n",
            "1480640 Examples seen. Accuracy: 0.7866 Error: 0.75347 Loss: 0.85586 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "1481280 Examples seen. Accuracy: 0.7886 Error: 0.60225 Loss: 0.76428 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "1481920 Examples seen. Accuracy: 0.7882 Error: 0.48668 Loss: 0.58719 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "1482560 Examples seen. Accuracy: 0.7874 Error: 0.52782 Loss: 0.48245 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.22s\n",
            "1483200 Examples seen. Accuracy: 0.7890 Error: 0.58961 Loss: 0.64006 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "1483840 Examples seen. Accuracy: 0.7863 Error: 0.53571 Loss: 0.54080 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.23s\n",
            "1484480 Examples seen. Accuracy: 0.7897 Error: 0.38843 Loss: 0.41312 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.23s\n",
            "1485120 Examples seen. Accuracy: 0.7890 Error: 0.66746 Loss: 0.81835 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.27s\n",
            "1485760 Examples seen. Accuracy: 0.7903 Error: 0.50619 Loss: 0.51885 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.26s\n",
            "1486400 Examples seen. Accuracy: 0.7919 Error: 0.52483 Loss: 0.48389 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.27s\n",
            "1487040 Examples seen. Accuracy: 0.7918 Error: 0.51182 Loss: 0.46692 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "1487680 Examples seen. Accuracy: 0.7911 Error: 0.52891 Loss: 0.60808 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.23s\n",
            "1488320 Examples seen. Accuracy: 0.7905 Error: 0.47468 Loss: 0.44027 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "1488960 Examples seen. Accuracy: 0.7916 Error: 0.52007 Loss: 0.48119 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.42s\n",
            "1489600 Examples seen. Accuracy: 0.7913 Error: 0.59431 Loss: 0.66019 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1490240 Examples seen. Accuracy: 0.7928 Error: 0.28465 Loss: 0.20264 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.23s\n",
            "1490880 Examples seen. Accuracy: 0.7939 Error: 0.55236 Loss: 0.61460 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "1491520 Examples seen. Accuracy: 0.7974 Error: 0.56037 Loss: 0.60860 Threads: 2 Forward time: 0.67s Backward time: 0.44s Step time: 2.23s\n",
            "1492160 Examples seen. Accuracy: 0.7966 Error: 0.60995 Loss: 0.60463 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.25s\n",
            "1492800 Examples seen. Accuracy: 0.7942 Error: 0.46108 Loss: 0.39231 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.29s\n",
            "1493440 Examples seen. Accuracy: 0.7929 Error: 0.58913 Loss: 0.53430 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.29s\n",
            "1494080 Examples seen. Accuracy: 0.7897 Error: 0.62714 Loss: 0.68551 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.24s\n",
            "1494720 Examples seen. Accuracy: 0.7907 Error: 0.47702 Loss: 0.45045 Threads: 2 Forward time: 0.72s Backward time: 0.39s Step time: 2.26s\n",
            "1495360 Examples seen. Accuracy: 0.7905 Error: 0.51511 Loss: 0.47296 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "1496000 Examples seen. Accuracy: 0.7906 Error: 0.55911 Loss: 0.58831 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.26s\n",
            "1496640 Examples seen. Accuracy: 0.7925 Error: 0.45635 Loss: 0.44314 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.30s\n",
            "1497280 Examples seen. Accuracy: 0.7932 Error: 0.55970 Loss: 0.62575 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.31s\n",
            "1497920 Examples seen. Accuracy: 0.7934 Error: 0.58497 Loss: 0.60486 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.29s\n",
            "1498560 Examples seen. Accuracy: 0.7910 Error: 0.58976 Loss: 0.63906 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.25s\n",
            "1499200 Examples seen. Accuracy: 0.7908 Error: 0.71239 Loss: 0.91936 Threads: 2 Forward time: 0.69s Backward time: 0.37s Step time: 2.25s\n",
            "1499840 Examples seen. Accuracy: 0.7906 Error: 0.62715 Loss: 0.66625 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.24s\n",
            "1500480 Examples seen. Accuracy: 0.7894 Error: 0.75906 Loss: 0.78093 Threads: 2 Forward time: 0.73s Backward time: 0.41s Step time: 2.25s\n",
            "1501120 Examples seen. Accuracy: 0.7919 Error: 0.50715 Loss: 0.51536 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "1501760 Examples seen. Accuracy: 0.7923 Error: 0.53881 Loss: 0.60699 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.27s\n",
            "1502400 Examples seen. Accuracy: 0.7930 Error: 0.43168 Loss: 0.45120 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "1503040 Examples seen. Accuracy: 0.7954 Error: 0.55112 Loss: 0.50520 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.22s\n",
            "1503680 Examples seen. Accuracy: 0.7949 Error: 0.64072 Loss: 0.69666 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.27s\n",
            "1504320 Examples seen. Accuracy: 0.7916 Error: 0.63412 Loss: 0.73455 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.24s\n",
            "1504960 Examples seen. Accuracy: 0.7906 Error: 0.59459 Loss: 0.65094 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.28s\n",
            "1505600 Examples seen. Accuracy: 0.7917 Error: 0.48038 Loss: 0.43522 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.29s\n",
            "1506240 Examples seen. Accuracy: 0.7914 Error: 0.50443 Loss: 0.49689 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.26s\n",
            "1506880 Examples seen. Accuracy: 0.7934 Error: 0.51415 Loss: 0.49254 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.29s\n",
            "1507520 Examples seen. Accuracy: 0.7931 Error: 0.42593 Loss: 0.48589 Threads: 2 Forward time: 0.70s Backward time: 0.38s Step time: 2.30s\n",
            "1508160 Examples seen. Accuracy: 0.7932 Error: 0.47379 Loss: 0.39951 Threads: 2 Forward time: 0.70s Backward time: 0.38s Step time: 2.26s\n",
            "1508800 Examples seen. Accuracy: 0.7930 Error: 0.51432 Loss: 0.52523 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.33s\n",
            "1509440 Examples seen. Accuracy: 0.7939 Error: 0.55133 Loss: 0.44992 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.25s\n",
            "1510080 Examples seen. Accuracy: 0.7927 Error: 0.64993 Loss: 0.75052 Threads: 2 Forward time: 0.72s Backward time: 0.40s Step time: 2.28s\n",
            "1510720 Examples seen. Accuracy: 0.7923 Error: 0.52962 Loss: 0.45140 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.23s\n",
            "1511360 Examples seen. Accuracy: 0.7939 Error: 0.49794 Loss: 0.64944 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.23s\n",
            "1512000 Examples seen. Accuracy: 0.7955 Error: 0.48969 Loss: 0.48337 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.25s\n",
            "1512640 Examples seen. Accuracy: 0.7944 Error: 0.50908 Loss: 0.45286 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.27s\n",
            "1513280 Examples seen. Accuracy: 0.7983 Error: 0.35618 Loss: 0.37822 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.33s\n",
            "1513920 Examples seen. Accuracy: 0.7970 Error: 0.63261 Loss: 0.77343 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "1514560 Examples seen. Accuracy: 0.7955 Error: 0.66367 Loss: 0.81705 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.27s\n",
            "1515200 Examples seen. Accuracy: 0.7943 Error: 0.55908 Loss: 0.60761 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.25s\n",
            "1515840 Examples seen. Accuracy: 0.7921 Error: 0.69640 Loss: 0.78736 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "1516480 Examples seen. Accuracy: 0.7918 Error: 0.60858 Loss: 0.70102 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "1517120 Examples seen. Accuracy: 0.7934 Error: 0.77586 Loss: 0.81878 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.24s\n",
            "1517760 Examples seen. Accuracy: 0.7935 Error: 0.51998 Loss: 0.48167 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.27s\n",
            "1518400 Examples seen. Accuracy: 0.7936 Error: 0.60375 Loss: 0.79310 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.28s\n",
            "1519040 Examples seen. Accuracy: 0.7926 Error: 0.62412 Loss: 0.63009 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.27s\n",
            "1519680 Examples seen. Accuracy: 0.7929 Error: 0.53028 Loss: 0.54054 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.25s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 38 Examples seen:1520000 Validation Accuracy: 0.8393 Validation Error: 0.4531 Validation Loss: 0.4848 Total time: 133.49min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.553 Min Weight:  -0.601 Max Output:  5.046 Min Output: -5.599 TNNetConvolutionLinear 32,32,64 Times: 30.14s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  5.046 Min Output: -1.176 TNNetMaxPool 8,8,64 Times: 6.96s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.881 Min Weight:   0.838 Max Output:  4.969 Min Output: -2.454 TNNetMovingStdNormalization 8,8,64 Times: 0.12s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.284 Min Weight:  -0.327 Max Output: 10.310 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.23s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.322 Min Weight:  -0.306 Max Output: 10.485 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.10s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.286 Min Weight:  -0.243 Max Output:  7.926 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.25s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.230 Min Weight:  -0.216 Max Output:  3.227 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.18s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  3.227 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.03s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  3.227 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.42s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.339 Min Weight:  -0.268 Max Output:  5.057 Min Output: -10.213 TNNetFullConnectLinear 10,1,1 Times: 0.13s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.566 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Epoch time: 2.3406 minutes. 50 epochs: 1.9505 hours.\n",
            "Epochs: 38. Working time: 2.22 hours.\n",
            "1520640 Examples seen. Accuracy: 0.7928 Error: 0.67371 Loss: 0.73775 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.22s\n",
            "1521280 Examples seen. Accuracy: 0.7945 Error: 0.58567 Loss: 0.77671 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.23s\n",
            "1521920 Examples seen. Accuracy: 0.7960 Error: 0.46430 Loss: 0.41841 Threads: 2 Forward time: 0.74s Backward time: 0.41s Step time: 2.26s\n",
            "1522560 Examples seen. Accuracy: 0.7958 Error: 0.55571 Loss: 0.58948 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.27s\n",
            "1523200 Examples seen. Accuracy: 0.7980 Error: 0.44864 Loss: 0.43539 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.23s\n",
            "1523840 Examples seen. Accuracy: 0.7966 Error: 0.69253 Loss: 0.85449 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.27s\n",
            "1524480 Examples seen. Accuracy: 0.7939 Error: 0.44124 Loss: 0.43668 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.29s\n",
            "1525120 Examples seen. Accuracy: 0.7961 Error: 0.62615 Loss: 0.66965 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "1525760 Examples seen. Accuracy: 0.7952 Error: 0.54026 Loss: 0.54328 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.25s\n",
            "1526400 Examples seen. Accuracy: 0.7951 Error: 0.49684 Loss: 0.67531 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.26s\n",
            "1527040 Examples seen. Accuracy: 0.7930 Error: 0.68212 Loss: 0.72117 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.26s\n",
            "1527680 Examples seen. Accuracy: 0.7940 Error: 0.58617 Loss: 0.61499 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.22s\n",
            "1528320 Examples seen. Accuracy: 0.7944 Error: 0.56039 Loss: 0.52445 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1528960 Examples seen. Accuracy: 0.7960 Error: 0.49814 Loss: 0.49748 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "1529600 Examples seen. Accuracy: 0.7962 Error: 0.56546 Loss: 0.57337 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.22s\n",
            "1530240 Examples seen. Accuracy: 0.7960 Error: 0.55079 Loss: 0.55246 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.25s\n",
            "1530880 Examples seen. Accuracy: 0.7953 Error: 0.54197 Loss: 0.65231 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.21s\n",
            "1531520 Examples seen. Accuracy: 0.7964 Error: 0.47446 Loss: 0.46548 Threads: 2 Forward time: 0.75s Backward time: 0.38s Step time: 2.22s\n",
            "1532160 Examples seen. Accuracy: 0.7978 Error: 0.46482 Loss: 0.49894 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.23s\n",
            "1532800 Examples seen. Accuracy: 0.7991 Error: 0.53313 Loss: 0.51641 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.29s\n",
            "1533440 Examples seen. Accuracy: 0.7986 Error: 0.39118 Loss: 0.34654 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.26s\n",
            "1534080 Examples seen. Accuracy: 0.7995 Error: 0.46553 Loss: 0.41049 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.21s\n",
            "1534720 Examples seen. Accuracy: 0.7979 Error: 0.49474 Loss: 0.53166 Threads: 2 Forward time: 0.74s Backward time: 0.39s Step time: 2.22s\n",
            "1535360 Examples seen. Accuracy: 0.7967 Error: 0.61258 Loss: 0.70624 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.23s\n",
            "1536000 Examples seen. Accuracy: 0.7966 Error: 0.45353 Loss: 0.43459 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.19s\n",
            "1536640 Examples seen. Accuracy: 0.7966 Error: 0.61230 Loss: 0.63005 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.18s\n",
            "1537280 Examples seen. Accuracy: 0.7960 Error: 0.59669 Loss: 0.68752 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.20s\n",
            "1537920 Examples seen. Accuracy: 0.7945 Error: 0.69669 Loss: 0.89655 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.27s\n",
            "1538560 Examples seen. Accuracy: 0.7945 Error: 0.62914 Loss: 0.74424 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "1539200 Examples seen. Accuracy: 0.7960 Error: 0.67901 Loss: 0.73963 Threads: 2 Forward time: 0.65s Backward time: 0.38s Step time: 2.20s\n",
            "1539840 Examples seen. Accuracy: 0.7953 Error: 0.64537 Loss: 0.68970 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.17s\n",
            "1540480 Examples seen. Accuracy: 0.7921 Error: 0.62359 Loss: 0.58386 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.18s\n",
            "1541120 Examples seen. Accuracy: 0.7956 Error: 0.54447 Loss: 0.57641 Threads: 2 Forward time: 0.66s Backward time: 0.37s Step time: 2.19s\n",
            "1541760 Examples seen. Accuracy: 0.7927 Error: 0.52883 Loss: 0.59555 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.17s\n",
            "1542400 Examples seen. Accuracy: 0.7937 Error: 0.63052 Loss: 0.72026 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.17s\n",
            "1543040 Examples seen. Accuracy: 0.7956 Error: 0.57521 Loss: 0.52067 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.17s\n",
            "1543680 Examples seen. Accuracy: 0.7970 Error: 0.56016 Loss: 0.62935 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.20s\n",
            "1544320 Examples seen. Accuracy: 0.7966 Error: 0.59682 Loss: 0.68506 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.18s\n",
            "1544960 Examples seen. Accuracy: 0.7969 Error: 0.54919 Loss: 0.61232 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.19s\n",
            "1545600 Examples seen. Accuracy: 0.7945 Error: 0.64745 Loss: 0.59091 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.17s\n",
            "1546240 Examples seen. Accuracy: 0.7937 Error: 0.65913 Loss: 0.67844 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.20s\n",
            "1546880 Examples seen. Accuracy: 0.7945 Error: 0.58297 Loss: 0.51839 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.20s\n",
            "1547520 Examples seen. Accuracy: 0.7929 Error: 0.50542 Loss: 0.53786 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "1548160 Examples seen. Accuracy: 0.7930 Error: 0.48890 Loss: 0.48153 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.22s\n",
            "1548800 Examples seen. Accuracy: 0.7931 Error: 0.76413 Loss: 1.04752 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.21s\n",
            "1549440 Examples seen. Accuracy: 0.7932 Error: 0.57961 Loss: 0.51512 Threads: 2 Forward time: 0.66s Backward time: 0.37s Step time: 2.18s\n",
            "1550080 Examples seen. Accuracy: 0.7944 Error: 0.56650 Loss: 0.61709 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.20s\n",
            "1550720 Examples seen. Accuracy: 0.7924 Error: 0.43724 Loss: 0.45568 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.21s\n",
            "1551360 Examples seen. Accuracy: 0.7929 Error: 0.66484 Loss: 0.78937 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.19s\n",
            "1552000 Examples seen. Accuracy: 0.7945 Error: 0.39434 Loss: 0.36745 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.21s\n",
            "1552640 Examples seen. Accuracy: 0.7984 Error: 0.43273 Loss: 0.42010 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.24s\n",
            "1553280 Examples seen. Accuracy: 0.7982 Error: 0.43916 Loss: 0.45716 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.26s\n",
            "1553920 Examples seen. Accuracy: 0.7999 Error: 0.47695 Loss: 0.46539 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "1554560 Examples seen. Accuracy: 0.7990 Error: 0.56959 Loss: 0.57689 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.21s\n",
            "1555200 Examples seen. Accuracy: 0.7985 Error: 0.54629 Loss: 0.61258 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.22s\n",
            "1555840 Examples seen. Accuracy: 0.7960 Error: 0.61928 Loss: 0.64982 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.25s\n",
            "1556480 Examples seen. Accuracy: 0.7977 Error: 0.43986 Loss: 0.37436 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.24s\n",
            "1557120 Examples seen. Accuracy: 0.7967 Error: 0.51264 Loss: 0.48064 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.24s\n",
            "1557760 Examples seen. Accuracy: 0.7958 Error: 0.67360 Loss: 0.67860 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.28s\n",
            "1558400 Examples seen. Accuracy: 0.7958 Error: 0.33803 Loss: 0.38657 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.27s\n",
            "1559040 Examples seen. Accuracy: 0.7974 Error: 0.64673 Loss: 0.65750 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.23s\n",
            "1559680 Examples seen. Accuracy: 0.7957 Error: 0.57897 Loss: 0.54775 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.24s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 39 Examples seen:1560000 Validation Accuracy: 0.8402 Validation Error: 0.4503 Validation Loss: 0.4830 Total time: 136.86min\n",
            "Epoch time: 2.3375 minutes. 50 epochs: 1.9479 hours.\n",
            "Epochs: 39. Working time: 2.28 hours.\n",
            "1560640 Examples seen. Accuracy: 0.7956 Error: 0.67319 Loss: 0.71352 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.21s\n",
            "1561280 Examples seen. Accuracy: 0.7974 Error: 0.59394 Loss: 0.60337 Threads: 2 Forward time: 0.70s Backward time: 0.38s Step time: 2.21s\n",
            "1561920 Examples seen. Accuracy: 0.7958 Error: 0.56277 Loss: 0.59270 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.20s\n",
            "1562560 Examples seen. Accuracy: 0.7972 Error: 0.52349 Loss: 0.46410 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.21s\n",
            "1563200 Examples seen. Accuracy: 0.7975 Error: 0.62872 Loss: 0.69287 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.19s\n",
            "1563840 Examples seen. Accuracy: 0.7969 Error: 0.45314 Loss: 0.44901 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.19s\n",
            "1564480 Examples seen. Accuracy: 0.7966 Error: 0.53668 Loss: 0.56319 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.20s\n",
            "1565120 Examples seen. Accuracy: 0.7969 Error: 0.44478 Loss: 0.48647 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.21s\n",
            "1565760 Examples seen. Accuracy: 0.7952 Error: 0.68136 Loss: 0.73749 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.20s\n",
            "1566400 Examples seen. Accuracy: 0.7977 Error: 0.45363 Loss: 0.46525 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.20s\n",
            "1567040 Examples seen. Accuracy: 0.7968 Error: 0.52275 Loss: 0.56796 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.21s\n",
            "1567680 Examples seen. Accuracy: 0.7972 Error: 0.63848 Loss: 0.64375 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.21s\n",
            "1568320 Examples seen. Accuracy: 0.7973 Error: 0.51971 Loss: 0.52722 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.28s\n",
            "1568960 Examples seen. Accuracy: 0.7962 Error: 0.55969 Loss: 0.58277 Threads: 2 Forward time: 0.73s Backward time: 0.42s Step time: 2.33s\n",
            "1569600 Examples seen. Accuracy: 0.7960 Error: 0.39806 Loss: 0.34391 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.27s\n",
            "1570240 Examples seen. Accuracy: 0.7971 Error: 0.44104 Loss: 0.46381 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "1570880 Examples seen. Accuracy: 0.7964 Error: 0.53720 Loss: 0.53367 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.23s\n",
            "1571520 Examples seen. Accuracy: 0.7968 Error: 0.46902 Loss: 0.49824 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.27s\n",
            "1572160 Examples seen. Accuracy: 0.7974 Error: 0.61437 Loss: 0.61245 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.24s\n",
            "1572800 Examples seen. Accuracy: 0.7973 Error: 0.50445 Loss: 0.66929 Threads: 2 Forward time: 0.70s Backward time: 0.38s Step time: 2.22s\n",
            "1573440 Examples seen. Accuracy: 0.7979 Error: 0.54081 Loss: 0.58838 Threads: 2 Forward time: 0.66s Backward time: 0.43s Step time: 2.24s\n",
            "1574080 Examples seen. Accuracy: 0.7998 Error: 0.52119 Loss: 0.54364 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.25s\n",
            "1574720 Examples seen. Accuracy: 0.7993 Error: 0.68056 Loss: 0.72650 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.23s\n",
            "1575360 Examples seen. Accuracy: 0.8020 Error: 0.67658 Loss: 0.84009 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.21s\n",
            "1576000 Examples seen. Accuracy: 0.8001 Error: 0.53027 Loss: 0.65733 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.21s\n",
            "1576640 Examples seen. Accuracy: 0.7987 Error: 0.48740 Loss: 0.48594 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "1577280 Examples seen. Accuracy: 0.7986 Error: 0.63780 Loss: 0.77002 Threads: 2 Forward time: 0.69s Backward time: 0.36s Step time: 2.21s\n",
            "1577920 Examples seen. Accuracy: 0.8005 Error: 0.49400 Loss: 0.55565 Threads: 2 Forward time: 0.72s Backward time: 0.39s Step time: 2.23s\n",
            "1578560 Examples seen. Accuracy: 0.8013 Error: 0.27200 Loss: 0.24422 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.27s\n",
            "1579200 Examples seen. Accuracy: 0.8006 Error: 0.42185 Loss: 0.36324 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.26s\n",
            "1579840 Examples seen. Accuracy: 0.8019 Error: 0.60743 Loss: 0.67113 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.24s\n",
            "1580480 Examples seen. Accuracy: 0.8036 Error: 0.56529 Loss: 0.57365 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.22s\n",
            "1581120 Examples seen. Accuracy: 0.8012 Error: 0.53265 Loss: 0.50840 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "1581760 Examples seen. Accuracy: 0.7972 Error: 0.55155 Loss: 0.48065 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.22s\n",
            "1582400 Examples seen. Accuracy: 0.7953 Error: 0.55018 Loss: 0.59121 Threads: 2 Forward time: 0.70s Backward time: 0.38s Step time: 2.20s\n",
            "1583040 Examples seen. Accuracy: 0.7922 Error: 0.62562 Loss: 0.69526 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.19s\n",
            "1583680 Examples seen. Accuracy: 0.7930 Error: 0.53142 Loss: 0.60024 Threads: 2 Forward time: 0.66s Backward time: 0.37s Step time: 2.18s\n",
            "1584320 Examples seen. Accuracy: 0.7934 Error: 0.60520 Loss: 0.64160 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.19s\n",
            "1584960 Examples seen. Accuracy: 0.7939 Error: 0.50419 Loss: 0.44670 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.22s\n",
            "1585600 Examples seen. Accuracy: 0.7924 Error: 0.54176 Loss: 0.58719 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.18s\n",
            "1586240 Examples seen. Accuracy: 0.7924 Error: 0.67986 Loss: 0.67489 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.23s\n",
            "1586880 Examples seen. Accuracy: 0.7932 Error: 0.50081 Loss: 0.43717 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.26s\n",
            "1587520 Examples seen. Accuracy: 0.7935 Error: 0.51638 Loss: 0.50033 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.20s\n",
            "1588160 Examples seen. Accuracy: 0.7921 Error: 0.61687 Loss: 0.77926 Threads: 2 Forward time: 0.65s Backward time: 0.38s Step time: 2.19s\n",
            "1588800 Examples seen. Accuracy: 0.7926 Error: 0.59606 Loss: 0.63630 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.18s\n",
            "1589440 Examples seen. Accuracy: 0.7950 Error: 0.45943 Loss: 0.47913 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.19s\n",
            "1590080 Examples seen. Accuracy: 0.7978 Error: 0.40967 Loss: 0.40802 Threads: 2 Forward time: 0.72s Backward time: 0.40s Step time: 2.25s\n",
            "1590720 Examples seen. Accuracy: 0.7993 Error: 0.54311 Loss: 0.59325 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.22s\n",
            "1591360 Examples seen. Accuracy: 0.7994 Error: 0.53366 Loss: 0.64489 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.21s\n",
            "1592000 Examples seen. Accuracy: 0.7997 Error: 0.50211 Loss: 0.46843 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.25s\n",
            "1592640 Examples seen. Accuracy: 0.7990 Error: 0.47866 Loss: 0.45590 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.20s\n",
            "1593280 Examples seen. Accuracy: 0.8021 Error: 0.56508 Loss: 0.55671 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.20s\n",
            "1593920 Examples seen. Accuracy: 0.8025 Error: 0.40057 Loss: 0.44647 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.20s\n",
            "1594560 Examples seen. Accuracy: 0.8028 Error: 0.50300 Loss: 0.49433 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.19s\n",
            "1595200 Examples seen. Accuracy: 0.8031 Error: 0.49374 Loss: 0.66467 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.20s\n",
            "1595840 Examples seen. Accuracy: 0.8013 Error: 0.48335 Loss: 0.45182 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.18s\n",
            "1596480 Examples seen. Accuracy: 0.8029 Error: 0.39189 Loss: 0.37119 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "1597120 Examples seen. Accuracy: 0.8049 Error: 0.49278 Loss: 0.60319 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.25s\n",
            "1597760 Examples seen. Accuracy: 0.8031 Error: 0.65186 Loss: 0.76126 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.25s\n",
            "1598400 Examples seen. Accuracy: 0.8031 Error: 0.46324 Loss: 0.48786 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.22s\n",
            "1599040 Examples seen. Accuracy: 0.8021 Error: 0.53607 Loss: 0.71111 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "1599680 Examples seen. Accuracy: 0.8019 Error: 0.61702 Loss: 0.64379 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.24s\n",
            "Starting Validation.\n",
            "Epochs: 40 Examples seen:1600000 Validation Accuracy: 0.8396 Validation Error: 0.4481 Validation Loss: 0.4818 Total time: 140.22min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.567 Min Weight:  -0.607 Max Output:  5.094 Min Output: -5.738 TNNetConvolutionLinear 32,32,64 Times: 30.15s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  5.094 Min Output: -1.141 TNNetMaxPool 8,8,64 Times: 7.07s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.890 Min Weight:   0.849 Max Output:  4.950 Min Output: -2.392 TNNetMovingStdNormalization 8,8,64 Times: 0.14s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.283 Min Weight:  -0.333 Max Output: 10.168 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.07s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.326 Min Weight:  -0.308 Max Output: 10.651 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.10s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.297 Min Weight:  -0.245 Max Output:  8.100 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.23s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.218 Min Weight:  -0.217 Max Output:  3.339 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.12s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  3.339 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.02s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  3.339 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.35s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.332 Min Weight:  -0.268 Max Output:  5.123 Min Output: -10.639 TNNetFullConnectLinear 10,1,1 Times: 0.11s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.534 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Starting Testing.\n",
            "Epochs: 40 Examples seen:1600000 Test Accuracy: 0.8323 Test Error: 0.4618 Test Loss: 0.5066 Total time: 141.26min\n",
            "Epoch time: 2.3302 minutes. 50 epochs: 1.9418 hours.\n",
            "Epochs: 40. Working time: 2.35 hours.\n",
            "Learning rate set to: 0.00067\n",
            "1600640 Examples seen. Accuracy: 0.8032 Error: 0.54834 Loss: 0.49500 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.25s\n",
            "1601280 Examples seen. Accuracy: 0.8021 Error: 0.54158 Loss: 0.49562 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.24s\n",
            "1601920 Examples seen. Accuracy: 0.8003 Error: 0.44752 Loss: 0.57778 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.31s\n",
            "1602560 Examples seen. Accuracy: 0.7964 Error: 0.73845 Loss: 0.82155 Threads: 2 Forward time: 0.75s Backward time: 0.39s Step time: 2.29s\n",
            "1603200 Examples seen. Accuracy: 0.7968 Error: 0.58723 Loss: 0.69386 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.29s\n",
            "1603840 Examples seen. Accuracy: 0.7964 Error: 0.49952 Loss: 0.49230 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.27s\n",
            "1604480 Examples seen. Accuracy: 0.7955 Error: 0.51424 Loss: 0.54972 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.28s\n",
            "1605120 Examples seen. Accuracy: 0.7996 Error: 0.38084 Loss: 0.29860 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.25s\n",
            "1605760 Examples seen. Accuracy: 0.7965 Error: 0.68793 Loss: 0.86853 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1606400 Examples seen. Accuracy: 0.7969 Error: 0.43971 Loss: 0.37113 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.24s\n",
            "1607040 Examples seen. Accuracy: 0.7968 Error: 0.45064 Loss: 0.45471 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.26s\n",
            "1607680 Examples seen. Accuracy: 0.7952 Error: 0.47009 Loss: 0.53871 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.23s\n",
            "1608320 Examples seen. Accuracy: 0.7946 Error: 0.49971 Loss: 0.46376 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.22s\n",
            "1608960 Examples seen. Accuracy: 0.7914 Error: 0.42825 Loss: 0.39693 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.23s\n",
            "1609600 Examples seen. Accuracy: 0.7919 Error: 0.54167 Loss: 0.49592 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "1610240 Examples seen. Accuracy: 0.7950 Error: 0.49673 Loss: 0.48542 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.24s\n",
            "1610880 Examples seen. Accuracy: 0.7963 Error: 0.60696 Loss: 0.66714 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.24s\n",
            "1611520 Examples seen. Accuracy: 0.7986 Error: 0.58903 Loss: 0.56854 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.22s\n",
            "1612160 Examples seen. Accuracy: 0.7966 Error: 0.55794 Loss: 0.54392 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.24s\n",
            "1612800 Examples seen. Accuracy: 0.7966 Error: 0.57761 Loss: 0.69745 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.22s\n",
            "1613440 Examples seen. Accuracy: 0.7978 Error: 0.62315 Loss: 0.78748 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "1614080 Examples seen. Accuracy: 0.7989 Error: 0.59880 Loss: 0.64713 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.23s\n",
            "1614720 Examples seen. Accuracy: 0.7970 Error: 0.51647 Loss: 0.45160 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.23s\n",
            "1615360 Examples seen. Accuracy: 0.7964 Error: 0.59025 Loss: 0.59156 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.25s\n",
            "1616000 Examples seen. Accuracy: 0.7975 Error: 0.49351 Loss: 0.53102 Threads: 2 Forward time: 0.66s Backward time: 0.37s Step time: 2.21s\n",
            "1616640 Examples seen. Accuracy: 0.7965 Error: 0.55126 Loss: 0.54281 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.20s\n",
            "1617280 Examples seen. Accuracy: 0.7990 Error: 0.49378 Loss: 0.46101 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.23s\n",
            "1617920 Examples seen. Accuracy: 0.7966 Error: 0.46944 Loss: 0.44067 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "1618560 Examples seen. Accuracy: 0.7940 Error: 0.54247 Loss: 0.65517 Threads: 2 Forward time: 0.68s Backward time: 0.45s Step time: 2.29s\n",
            "1619200 Examples seen. Accuracy: 0.7927 Error: 0.57825 Loss: 0.64135 Threads: 2 Forward time: 0.73s Backward time: 0.43s Step time: 2.34s\n",
            "1619840 Examples seen. Accuracy: 0.7911 Error: 0.69701 Loss: 0.75156 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "1620480 Examples seen. Accuracy: 0.7921 Error: 0.54611 Loss: 0.64435 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "1621120 Examples seen. Accuracy: 0.7921 Error: 0.52289 Loss: 0.50301 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "1621760 Examples seen. Accuracy: 0.7910 Error: 0.59768 Loss: 0.53358 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.26s\n",
            "1622400 Examples seen. Accuracy: 0.7935 Error: 0.45171 Loss: 0.52506 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.28s\n",
            "1623040 Examples seen. Accuracy: 0.7933 Error: 0.50049 Loss: 0.56558 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "1623680 Examples seen. Accuracy: 0.7970 Error: 0.53434 Loss: 0.56107 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.28s\n",
            "1624320 Examples seen. Accuracy: 0.7976 Error: 0.59257 Loss: 0.82279 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.24s\n",
            "1624960 Examples seen. Accuracy: 0.7990 Error: 0.49330 Loss: 0.45670 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.21s\n",
            "1625600 Examples seen. Accuracy: 0.8033 Error: 0.43791 Loss: 0.39391 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.22s\n",
            "1626240 Examples seen. Accuracy: 0.8039 Error: 0.53872 Loss: 0.77483 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.24s\n",
            "1626880 Examples seen. Accuracy: 0.8034 Error: 0.49363 Loss: 0.51382 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "1627520 Examples seen. Accuracy: 0.8021 Error: 0.58264 Loss: 0.56444 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.26s\n",
            "1628160 Examples seen. Accuracy: 0.7996 Error: 0.53911 Loss: 0.62169 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.30s\n",
            "1628800 Examples seen. Accuracy: 0.8003 Error: 0.52876 Loss: 0.52727 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.21s\n",
            "1629440 Examples seen. Accuracy: 0.7985 Error: 0.57780 Loss: 0.64174 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.21s\n",
            "1630080 Examples seen. Accuracy: 0.8006 Error: 0.52410 Loss: 0.53068 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.25s\n",
            "1630720 Examples seen. Accuracy: 0.8015 Error: 0.47819 Loss: 0.45263 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.23s\n",
            "1631360 Examples seen. Accuracy: 0.8017 Error: 0.48907 Loss: 0.49822 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.28s\n",
            "1632000 Examples seen. Accuracy: 0.8022 Error: 0.54620 Loss: 0.61435 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "1632640 Examples seen. Accuracy: 0.8001 Error: 0.52847 Loss: 0.53528 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.23s\n",
            "1633280 Examples seen. Accuracy: 0.8035 Error: 0.42415 Loss: 0.48922 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.22s\n",
            "1633920 Examples seen. Accuracy: 0.8019 Error: 0.69627 Loss: 0.83207 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.23s\n",
            "1634560 Examples seen. Accuracy: 0.8040 Error: 0.42959 Loss: 0.43335 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.25s\n",
            "1635200 Examples seen. Accuracy: 0.8030 Error: 0.50978 Loss: 0.53222 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "1635840 Examples seen. Accuracy: 0.8048 Error: 0.45571 Loss: 0.41322 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.23s\n",
            "1636480 Examples seen. Accuracy: 0.8043 Error: 0.68396 Loss: 0.70279 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.28s\n",
            "1637120 Examples seen. Accuracy: 0.8035 Error: 0.64402 Loss: 0.62521 Threads: 2 Forward time: 0.72s Backward time: 0.44s Step time: 2.36s\n",
            "1637760 Examples seen. Accuracy: 0.8026 Error: 0.46955 Loss: 0.45105 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.32s\n",
            "1638400 Examples seen. Accuracy: 0.8054 Error: 0.46528 Loss: 0.47117 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.25s\n",
            "1639040 Examples seen. Accuracy: 0.8060 Error: 0.55940 Loss: 0.60628 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.25s\n",
            "1639680 Examples seen. Accuracy: 0.8064 Error: 0.45515 Loss: 0.36650 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.27s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 41 Examples seen:1640000 Validation Accuracy: 0.8408 Validation Error: 0.4464 Validation Loss: 0.4813 Total time: 144.68min\n",
            "Epoch time: 2.3635 minutes. 50 epochs: 1.9696 hours.\n",
            "Epochs: 41. Working time: 2.41 hours.\n",
            "1640640 Examples seen. Accuracy: 0.8036 Error: 0.46844 Loss: 0.47482 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "1641280 Examples seen. Accuracy: 0.8056 Error: 0.45351 Loss: 0.50766 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "1641920 Examples seen. Accuracy: 0.8055 Error: 0.63496 Loss: 0.66039 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.27s\n",
            "1642560 Examples seen. Accuracy: 0.8050 Error: 0.52858 Loss: 0.50874 Threads: 2 Forward time: 0.69s Backward time: 0.44s Step time: 2.29s\n",
            "1643200 Examples seen. Accuracy: 0.8056 Error: 0.51260 Loss: 0.52081 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.28s\n",
            "1643840 Examples seen. Accuracy: 0.8061 Error: 0.53698 Loss: 0.52181 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.29s\n",
            "1644480 Examples seen. Accuracy: 0.8049 Error: 0.73764 Loss: 0.86155 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.28s\n",
            "1645120 Examples seen. Accuracy: 0.8033 Error: 0.66385 Loss: 0.64354 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.27s\n",
            "1645760 Examples seen. Accuracy: 0.8022 Error: 0.65954 Loss: 0.68206 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "1646400 Examples seen. Accuracy: 0.8027 Error: 0.53160 Loss: 0.47919 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.24s\n",
            "1647040 Examples seen. Accuracy: 0.8025 Error: 0.60844 Loss: 0.66404 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "1647680 Examples seen. Accuracy: 0.8004 Error: 0.49658 Loss: 0.52059 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "1648320 Examples seen. Accuracy: 0.8008 Error: 0.54046 Loss: 0.61702 Threads: 2 Forward time: 0.73s Backward time: 0.39s Step time: 2.22s\n",
            "1648960 Examples seen. Accuracy: 0.7993 Error: 0.54266 Loss: 0.56505 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.28s\n",
            "1649600 Examples seen. Accuracy: 0.7972 Error: 0.56532 Loss: 0.52850 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.24s\n",
            "1650240 Examples seen. Accuracy: 0.7972 Error: 0.54621 Loss: 0.50362 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.26s\n",
            "1650880 Examples seen. Accuracy: 0.7958 Error: 0.54663 Loss: 0.54676 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.25s\n",
            "1651520 Examples seen. Accuracy: 0.7970 Error: 0.59492 Loss: 0.54005 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.22s\n",
            "1652160 Examples seen. Accuracy: 0.7991 Error: 0.50497 Loss: 0.56636 Threads: 2 Forward time: 0.73s Backward time: 0.40s Step time: 2.25s\n",
            "1652800 Examples seen. Accuracy: 0.7993 Error: 0.38165 Loss: 0.46440 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.28s\n",
            "1653440 Examples seen. Accuracy: 0.8015 Error: 0.54787 Loss: 0.53506 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.28s\n",
            "1654080 Examples seen. Accuracy: 0.8039 Error: 0.41015 Loss: 0.37745 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.25s\n",
            "1654720 Examples seen. Accuracy: 0.8056 Error: 0.65196 Loss: 0.74162 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.26s\n",
            "1655360 Examples seen. Accuracy: 0.8070 Error: 0.49937 Loss: 0.47713 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.21s\n",
            "1656000 Examples seen. Accuracy: 0.8096 Error: 0.55126 Loss: 0.58818 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "1656640 Examples seen. Accuracy: 0.8097 Error: 0.42111 Loss: 0.34261 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.24s\n",
            "1657280 Examples seen. Accuracy: 0.8091 Error: 0.59249 Loss: 0.57066 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.23s\n",
            "1657920 Examples seen. Accuracy: 0.8096 Error: 0.48823 Loss: 0.52563 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "1658560 Examples seen. Accuracy: 0.8081 Error: 0.47901 Loss: 0.48341 Threads: 2 Forward time: 0.72s Backward time: 0.42s Step time: 2.24s\n",
            "1659200 Examples seen. Accuracy: 0.8060 Error: 0.58616 Loss: 0.62689 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.21s\n",
            "1659840 Examples seen. Accuracy: 0.8063 Error: 0.54445 Loss: 0.47752 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.23s\n",
            "1660480 Examples seen. Accuracy: 0.8058 Error: 0.43380 Loss: 0.47763 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "1661120 Examples seen. Accuracy: 0.8074 Error: 0.48094 Loss: 0.53642 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.24s\n",
            "1661760 Examples seen. Accuracy: 0.8079 Error: 0.53709 Loss: 0.56328 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.23s\n",
            "1662400 Examples seen. Accuracy: 0.8040 Error: 0.66560 Loss: 0.62704 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.21s\n",
            "1663040 Examples seen. Accuracy: 0.8011 Error: 0.60854 Loss: 0.60503 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.20s\n",
            "1663680 Examples seen. Accuracy: 0.7995 Error: 0.57086 Loss: 0.73051 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.20s\n",
            "1664320 Examples seen. Accuracy: 0.7969 Error: 0.64232 Loss: 0.67945 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "1664960 Examples seen. Accuracy: 0.7971 Error: 0.47593 Loss: 0.41808 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.19s\n",
            "1665600 Examples seen. Accuracy: 0.7982 Error: 0.52872 Loss: 0.59126 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.21s\n",
            "1666240 Examples seen. Accuracy: 0.7978 Error: 0.57924 Loss: 0.76161 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.19s\n",
            "1666880 Examples seen. Accuracy: 0.7979 Error: 0.65772 Loss: 0.74640 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.22s\n",
            "1667520 Examples seen. Accuracy: 0.7947 Error: 0.52117 Loss: 0.49701 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.26s\n",
            "1668160 Examples seen. Accuracy: 0.7959 Error: 0.44135 Loss: 0.41078 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "1668800 Examples seen. Accuracy: 0.7943 Error: 0.68305 Loss: 0.80192 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.27s\n",
            "1669440 Examples seen. Accuracy: 0.7942 Error: 0.66610 Loss: 0.72271 Threads: 2 Forward time: 0.74s Backward time: 0.40s Step time: 2.25s\n",
            "1670080 Examples seen. Accuracy: 0.7948 Error: 0.53490 Loss: 0.71279 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.22s\n",
            "1670720 Examples seen. Accuracy: 0.7960 Error: 0.52018 Loss: 0.68401 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.22s\n",
            "1671360 Examples seen. Accuracy: 0.8003 Error: 0.41840 Loss: 0.36969 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.24s\n",
            "1672000 Examples seen. Accuracy: 0.7997 Error: 0.54682 Loss: 0.58255 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.22s\n",
            "1672640 Examples seen. Accuracy: 0.8000 Error: 0.38967 Loss: 0.36466 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.25s\n",
            "1673280 Examples seen. Accuracy: 0.8007 Error: 0.57849 Loss: 0.58812 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.27s\n",
            "1673920 Examples seen. Accuracy: 0.8012 Error: 0.57866 Loss: 0.71095 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "1674560 Examples seen. Accuracy: 0.7975 Error: 0.52735 Loss: 0.53835 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1675200 Examples seen. Accuracy: 0.7987 Error: 0.58814 Loss: 0.70309 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "1675840 Examples seen. Accuracy: 0.7979 Error: 0.59860 Loss: 0.59350 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.24s\n",
            "1676480 Examples seen. Accuracy: 0.7984 Error: 0.52595 Loss: 0.59196 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "1677120 Examples seen. Accuracy: 0.7990 Error: 0.48244 Loss: 0.52215 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "1677760 Examples seen. Accuracy: 0.7980 Error: 0.74877 Loss: 0.91942 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.25s\n",
            "1678400 Examples seen. Accuracy: 0.7995 Error: 0.49146 Loss: 0.45821 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.23s\n",
            "1679040 Examples seen. Accuracy: 0.7999 Error: 0.43567 Loss: 0.33887 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.21s\n",
            "1679680 Examples seen. Accuracy: 0.7998 Error: 0.54667 Loss: 0.47788 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 42 Examples seen:1680000 Validation Accuracy: 0.8431 Validation Error: 0.4436 Validation Loss: 0.4792 Total time: 148.11min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.579 Min Weight:  -0.612 Max Output:  5.170 Min Output: -5.810 TNNetConvolutionLinear 32,32,64 Times: 31.10s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  5.170 Min Output: -1.201 TNNetMaxPool 8,8,64 Times: 7.14s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.899 Min Weight:   0.859 Max Output:  4.970 Min Output: -2.444 TNNetMovingStdNormalization 8,8,64 Times: 0.14s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.281 Min Weight:  -0.339 Max Output: 10.009 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.61s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.336 Min Weight:  -0.312 Max Output: 11.004 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.49s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.308 Min Weight:  -0.247 Max Output:  8.035 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.55s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.213 Min Weight:  -0.218 Max Output:  3.255 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.61s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  3.255 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.04s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  3.255 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.41s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.329 Min Weight:  -0.269 Max Output:  5.219 Min Output: -11.023 TNNetFullConnectLinear 10,1,1 Times: 0.13s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.453 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Epoch time: 2.3135 minutes. 50 epochs: 1.9280 hours.\n",
            "Epochs: 42. Working time: 2.47 hours.\n",
            "1680640 Examples seen. Accuracy: 0.8000 Error: 0.67139 Loss: 0.76720 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.29s\n",
            "1681280 Examples seen. Accuracy: 0.8009 Error: 0.46329 Loss: 0.44383 Threads: 2 Forward time: 0.71s Backward time: 0.44s Step time: 2.29s\n",
            "1681920 Examples seen. Accuracy: 0.7987 Error: 0.45487 Loss: 0.42265 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.27s\n",
            "1682560 Examples seen. Accuracy: 0.7991 Error: 0.53651 Loss: 0.58118 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.27s\n",
            "1683200 Examples seen. Accuracy: 0.7983 Error: 0.62182 Loss: 0.72797 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.27s\n",
            "1683840 Examples seen. Accuracy: 0.7974 Error: 0.51756 Loss: 0.49560 Threads: 2 Forward time: 0.73s Backward time: 0.43s Step time: 2.33s\n",
            "1684480 Examples seen. Accuracy: 0.7976 Error: 0.42272 Loss: 0.50421 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.30s\n",
            "1685120 Examples seen. Accuracy: 0.7954 Error: 0.59142 Loss: 0.70337 Threads: 2 Forward time: 0.71s Backward time: 0.37s Step time: 2.28s\n",
            "1685760 Examples seen. Accuracy: 0.7987 Error: 0.62864 Loss: 0.75422 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.26s\n",
            "1686400 Examples seen. Accuracy: 0.7967 Error: 0.58669 Loss: 0.61356 Threads: 2 Forward time: 0.73s Backward time: 0.39s Step time: 2.31s\n",
            "1687040 Examples seen. Accuracy: 0.7964 Error: 0.37858 Loss: 0.36980 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.31s\n",
            "1687680 Examples seen. Accuracy: 0.7974 Error: 0.66028 Loss: 0.80919 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.28s\n",
            "1688320 Examples seen. Accuracy: 0.7989 Error: 0.44437 Loss: 0.47425 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.29s\n",
            "1688960 Examples seen. Accuracy: 0.8005 Error: 0.43870 Loss: 0.43714 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.37s\n",
            "1689600 Examples seen. Accuracy: 0.8001 Error: 0.43118 Loss: 0.44524 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "1690240 Examples seen. Accuracy: 0.8022 Error: 0.45332 Loss: 0.43886 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.27s\n",
            "1690880 Examples seen. Accuracy: 0.8031 Error: 0.65069 Loss: 0.68805 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.30s\n",
            "1691520 Examples seen. Accuracy: 0.8031 Error: 0.49658 Loss: 0.51343 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.27s\n",
            "1692160 Examples seen. Accuracy: 0.8040 Error: 0.50640 Loss: 0.56564 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.25s\n",
            "1692800 Examples seen. Accuracy: 0.8037 Error: 0.53802 Loss: 0.51715 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.29s\n",
            "1693440 Examples seen. Accuracy: 0.8067 Error: 0.44406 Loss: 0.38914 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.33s\n",
            "1694080 Examples seen. Accuracy: 0.8060 Error: 0.49721 Loss: 0.53111 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.25s\n",
            "1694720 Examples seen. Accuracy: 0.8076 Error: 0.45770 Loss: 0.45646 Threads: 2 Forward time: 0.72s Backward time: 0.40s Step time: 2.22s\n",
            "1695360 Examples seen. Accuracy: 0.8062 Error: 0.52654 Loss: 0.57848 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.22s\n",
            "1696000 Examples seen. Accuracy: 0.8063 Error: 0.63608 Loss: 0.70153 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.23s\n",
            "1696640 Examples seen. Accuracy: 0.8037 Error: 0.37510 Loss: 0.31714 Threads: 2 Forward time: 0.70s Backward time: 0.38s Step time: 2.23s\n",
            "1697280 Examples seen. Accuracy: 0.8039 Error: 0.51885 Loss: 0.45366 Threads: 2 Forward time: 0.67s Backward time: 0.43s Step time: 2.28s\n",
            "1697920 Examples seen. Accuracy: 0.8046 Error: 0.43285 Loss: 0.45659 Threads: 2 Forward time: 0.75s Backward time: 0.38s Step time: 2.29s\n",
            "1698560 Examples seen. Accuracy: 0.8078 Error: 0.60024 Loss: 0.66575 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.25s\n",
            "1699200 Examples seen. Accuracy: 0.8095 Error: 0.57150 Loss: 0.70263 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "1699840 Examples seen. Accuracy: 0.8092 Error: 0.49861 Loss: 0.42160 Threads: 2 Forward time: 0.70s Backward time: 0.38s Step time: 2.23s\n",
            "1700480 Examples seen. Accuracy: 0.8108 Error: 0.46779 Loss: 0.39972 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.23s\n",
            "1701120 Examples seen. Accuracy: 0.8119 Error: 0.41481 Loss: 0.51118 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.23s\n",
            "1701760 Examples seen. Accuracy: 0.8125 Error: 0.44243 Loss: 0.36300 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.27s\n",
            "1702400 Examples seen. Accuracy: 0.8124 Error: 0.44899 Loss: 0.49796 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.29s\n",
            "1703040 Examples seen. Accuracy: 0.8098 Error: 0.52932 Loss: 0.53997 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1703680 Examples seen. Accuracy: 0.8097 Error: 0.60533 Loss: 0.59089 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.26s\n",
            "1704320 Examples seen. Accuracy: 0.8084 Error: 0.54161 Loss: 0.53130 Threads: 2 Forward time: 0.71s Backward time: 0.44s Step time: 2.29s\n",
            "1704960 Examples seen. Accuracy: 0.8092 Error: 0.53471 Loss: 0.56710 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.24s\n",
            "1705600 Examples seen. Accuracy: 0.8077 Error: 0.61441 Loss: 0.65031 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.21s\n",
            "1706240 Examples seen. Accuracy: 0.8092 Error: 0.46696 Loss: 0.45175 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.22s\n",
            "1706880 Examples seen. Accuracy: 0.8095 Error: 0.60226 Loss: 0.57590 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "1707520 Examples seen. Accuracy: 0.8106 Error: 0.52049 Loss: 0.79232 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.23s\n",
            "1708160 Examples seen. Accuracy: 0.8089 Error: 0.55049 Loss: 0.64751 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.22s\n",
            "1708800 Examples seen. Accuracy: 0.8073 Error: 0.52926 Loss: 0.57544 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.21s\n",
            "1709440 Examples seen. Accuracy: 0.8057 Error: 0.44427 Loss: 0.47284 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.23s\n",
            "1710080 Examples seen. Accuracy: 0.8034 Error: 0.67256 Loss: 0.80340 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.25s\n",
            "1710720 Examples seen. Accuracy: 0.8020 Error: 0.55730 Loss: 0.56850 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.27s\n",
            "1711360 Examples seen. Accuracy: 0.8025 Error: 0.55680 Loss: 0.51552 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.24s\n",
            "1712000 Examples seen. Accuracy: 0.8018 Error: 0.58785 Loss: 0.76400 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.23s\n",
            "1712640 Examples seen. Accuracy: 0.8020 Error: 0.48576 Loss: 0.47088 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.25s\n",
            "1713280 Examples seen. Accuracy: 0.7984 Error: 0.59862 Loss: 0.80245 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.25s\n",
            "1713920 Examples seen. Accuracy: 0.7998 Error: 0.61474 Loss: 0.67588 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.25s\n",
            "1714560 Examples seen. Accuracy: 0.8006 Error: 0.56500 Loss: 0.65336 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.24s\n",
            "1715200 Examples seen. Accuracy: 0.8011 Error: 0.64712 Loss: 0.90739 Threads: 2 Forward time: 0.66s Backward time: 0.42s Step time: 2.21s\n",
            "1715840 Examples seen. Accuracy: 0.8027 Error: 0.58675 Loss: 0.65706 Threads: 2 Forward time: 0.70s Backward time: 0.38s Step time: 2.21s\n",
            "1716480 Examples seen. Accuracy: 0.8025 Error: 0.45281 Loss: 0.39598 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.21s\n",
            "1717120 Examples seen. Accuracy: 0.8005 Error: 0.70375 Loss: 0.77210 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "1717760 Examples seen. Accuracy: 0.7993 Error: 0.63193 Loss: 0.68640 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.26s\n",
            "1718400 Examples seen. Accuracy: 0.7990 Error: 0.58053 Loss: 0.62891 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.20s\n",
            "1719040 Examples seen. Accuracy: 0.7971 Error: 0.65807 Loss: 0.76720 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.22s\n",
            "1719680 Examples seen. Accuracy: 0.7985 Error: 0.55384 Loss: 0.43992 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.20s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 43 Examples seen:1720000 Validation Accuracy: 0.8435 Validation Error: 0.4421 Validation Loss: 0.4766 Total time: 151.50min\n",
            "Epoch time: 2.2948 minutes. 50 epochs: 1.9123 hours.\n",
            "Epochs: 43. Working time: 2.53 hours.\n",
            "1720640 Examples seen. Accuracy: 0.7981 Error: 0.55341 Loss: 0.57737 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.26s\n",
            "1721280 Examples seen. Accuracy: 0.7995 Error: 0.50887 Loss: 0.50630 Threads: 2 Forward time: 0.65s Backward time: 0.40s Step time: 2.23s\n",
            "1721920 Examples seen. Accuracy: 0.7963 Error: 0.68551 Loss: 0.70875 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.21s\n",
            "1722560 Examples seen. Accuracy: 0.7965 Error: 0.67230 Loss: 0.82301 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.26s\n",
            "1723200 Examples seen. Accuracy: 0.7953 Error: 0.46954 Loss: 0.48940 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.25s\n",
            "1723840 Examples seen. Accuracy: 0.7980 Error: 0.51257 Loss: 0.44211 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.27s\n",
            "1724480 Examples seen. Accuracy: 0.7994 Error: 0.50717 Loss: 0.45955 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.28s\n",
            "1725120 Examples seen. Accuracy: 0.7985 Error: 0.65405 Loss: 0.76664 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.26s\n",
            "1725760 Examples seen. Accuracy: 0.7988 Error: 0.62551 Loss: 0.62255 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "1726400 Examples seen. Accuracy: 0.8007 Error: 0.49349 Loss: 0.49951 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.26s\n",
            "1727040 Examples seen. Accuracy: 0.7988 Error: 0.63706 Loss: 0.71263 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.25s\n",
            "1727680 Examples seen. Accuracy: 0.8006 Error: 0.62528 Loss: 0.78108 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.25s\n",
            "1728320 Examples seen. Accuracy: 0.8010 Error: 0.57656 Loss: 0.62641 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "1728960 Examples seen. Accuracy: 0.8022 Error: 0.56029 Loss: 0.49488 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.23s\n",
            "1729600 Examples seen. Accuracy: 0.8029 Error: 0.34691 Loss: 0.37576 Threads: 2 Forward time: 0.73s Backward time: 0.41s Step time: 2.27s\n",
            "1730240 Examples seen. Accuracy: 0.8026 Error: 0.49302 Loss: 0.60632 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.25s\n",
            "1730880 Examples seen. Accuracy: 0.8039 Error: 0.47092 Loss: 0.50248 Threads: 2 Forward time: 0.69s Backward time: 0.37s Step time: 2.26s\n",
            "1731520 Examples seen. Accuracy: 0.8048 Error: 0.62387 Loss: 0.60490 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.23s\n",
            "1732160 Examples seen. Accuracy: 0.8028 Error: 0.49964 Loss: 0.48220 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.23s\n",
            "1732800 Examples seen. Accuracy: 0.8049 Error: 0.56605 Loss: 0.55722 Threads: 2 Forward time: 0.68s Backward time: 0.44s Step time: 2.23s\n",
            "1733440 Examples seen. Accuracy: 0.8039 Error: 0.59731 Loss: 0.67491 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "1734080 Examples seen. Accuracy: 0.8050 Error: 0.50678 Loss: 0.57558 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.31s\n",
            "1734720 Examples seen. Accuracy: 0.8064 Error: 0.53332 Loss: 0.51525 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.36s\n",
            "1735360 Examples seen. Accuracy: 0.8066 Error: 0.54413 Loss: 0.67696 Threads: 2 Forward time: 0.69s Backward time: 0.43s Step time: 2.28s\n",
            "1736000 Examples seen. Accuracy: 0.8046 Error: 0.53143 Loss: 0.56676 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.27s\n",
            "1736640 Examples seen. Accuracy: 0.8022 Error: 0.56565 Loss: 0.59714 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.24s\n",
            "1737280 Examples seen. Accuracy: 0.8029 Error: 0.56774 Loss: 0.55036 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "1737920 Examples seen. Accuracy: 0.8029 Error: 0.34835 Loss: 0.31202 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.23s\n",
            "1738560 Examples seen. Accuracy: 0.8033 Error: 0.51071 Loss: 0.64443 Threads: 2 Forward time: 0.70s Backward time: 0.43s Step time: 2.28s\n",
            "1739200 Examples seen. Accuracy: 0.8059 Error: 0.36952 Loss: 0.33057 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1739840 Examples seen. Accuracy: 0.8097 Error: 0.50228 Loss: 0.56104 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.22s\n",
            "1740480 Examples seen. Accuracy: 0.8066 Error: 0.48273 Loss: 0.45099 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "1741120 Examples seen. Accuracy: 0.8078 Error: 0.45553 Loss: 0.37889 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.22s\n",
            "1741760 Examples seen. Accuracy: 0.8066 Error: 0.58246 Loss: 0.73300 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.23s\n",
            "1742400 Examples seen. Accuracy: 0.8063 Error: 0.61806 Loss: 0.76036 Threads: 2 Forward time: 0.73s Backward time: 0.42s Step time: 2.31s\n",
            "1743040 Examples seen. Accuracy: 0.8070 Error: 0.46658 Loss: 0.44036 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.26s\n",
            "1743680 Examples seen. Accuracy: 0.8072 Error: 0.70367 Loss: 0.81154 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.24s\n",
            "1744320 Examples seen. Accuracy: 0.8074 Error: 0.46177 Loss: 0.46414 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.21s\n",
            "1744960 Examples seen. Accuracy: 0.8063 Error: 0.47637 Loss: 0.48543 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.20s\n",
            "1745600 Examples seen. Accuracy: 0.8041 Error: 0.44665 Loss: 0.38885 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.22s\n",
            "1746240 Examples seen. Accuracy: 0.8007 Error: 0.54994 Loss: 0.59860 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "1746880 Examples seen. Accuracy: 0.8025 Error: 0.46929 Loss: 0.40619 Threads: 2 Forward time: 0.66s Backward time: 0.37s Step time: 2.18s\n",
            "1747520 Examples seen. Accuracy: 0.8033 Error: 0.50548 Loss: 0.53090 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.20s\n",
            "1748160 Examples seen. Accuracy: 0.8021 Error: 0.56606 Loss: 0.61231 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.21s\n",
            "1748800 Examples seen. Accuracy: 0.8033 Error: 0.56792 Loss: 0.64922 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "1749440 Examples seen. Accuracy: 0.8041 Error: 0.58555 Loss: 0.69141 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.22s\n",
            "1750080 Examples seen. Accuracy: 0.8037 Error: 0.54260 Loss: 0.64653 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.22s\n",
            "1750720 Examples seen. Accuracy: 0.8020 Error: 0.53329 Loss: 0.52588 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.19s\n",
            "1751360 Examples seen. Accuracy: 0.8048 Error: 0.45951 Loss: 0.48354 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.20s\n",
            "1752000 Examples seen. Accuracy: 0.8058 Error: 0.53471 Loss: 0.66714 Threads: 2 Forward time: 0.69s Backward time: 0.37s Step time: 2.24s\n",
            "1752640 Examples seen. Accuracy: 0.8040 Error: 0.51177 Loss: 0.54987 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.21s\n",
            "1753280 Examples seen. Accuracy: 0.8056 Error: 0.56275 Loss: 0.57194 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "1753920 Examples seen. Accuracy: 0.8041 Error: 0.52118 Loss: 0.53013 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.21s\n",
            "1754560 Examples seen. Accuracy: 0.8017 Error: 0.47195 Loss: 0.54014 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.20s\n",
            "1755200 Examples seen. Accuracy: 0.8020 Error: 0.52556 Loss: 0.59282 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.20s\n",
            "1755840 Examples seen. Accuracy: 0.8043 Error: 0.42051 Loss: 0.44183 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.22s\n",
            "1756480 Examples seen. Accuracy: 0.8041 Error: 0.40768 Loss: 0.52747 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.22s\n",
            "1757120 Examples seen. Accuracy: 0.8046 Error: 0.41115 Loss: 0.49730 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.27s\n",
            "1757760 Examples seen. Accuracy: 0.8040 Error: 0.45498 Loss: 0.54977 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.22s\n",
            "1758400 Examples seen. Accuracy: 0.8006 Error: 0.62762 Loss: 0.56970 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.19s\n",
            "1759040 Examples seen. Accuracy: 0.8013 Error: 0.53627 Loss: 0.55708 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1759680 Examples seen. Accuracy: 0.8023 Error: 0.49772 Loss: 0.53613 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.24s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 44 Examples seen:1760000 Validation Accuracy: 0.8437 Validation Error: 0.4400 Validation Loss: 0.4751 Total time: 154.87min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.591 Min Weight:  -0.617 Max Output:  5.223 Min Output: -5.903 TNNetConvolutionLinear 32,32,64 Times: 30.09s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  5.223 Min Output: -1.230 TNNetMaxPool 8,8,64 Times: 6.98s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.908 Min Weight:   0.869 Max Output:  4.966 Min Output: -2.460 TNNetMovingStdNormalization 8,8,64 Times: 0.13s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.280 Min Weight:  -0.345 Max Output: 10.068 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.11s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.347 Min Weight:  -0.319 Max Output: 11.124 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.00s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.316 Min Weight:  -0.251 Max Output:  7.513 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.06s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.218 Min Weight:  -0.219 Max Output:  3.292 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.18s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  3.292 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.02s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  3.292 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.38s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.330 Min Weight:  -0.269 Max Output:  5.223 Min Output: -11.036 TNNetFullConnectLinear 10,1,1 Times: 0.07s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.435 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Epoch time: 2.3323 minutes. 50 epochs: 1.9436 hours.\n",
            "Epochs: 44. Working time: 2.58 hours.\n",
            "1760640 Examples seen. Accuracy: 0.8019 Error: 0.61683 Loss: 0.80504 Threads: 2 Forward time: 0.65s Backward time: 0.36s Step time: 2.17s\n",
            "1761280 Examples seen. Accuracy: 0.7988 Error: 0.48159 Loss: 0.66259 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.19s\n",
            "1761920 Examples seen. Accuracy: 0.7978 Error: 0.67617 Loss: 0.70790 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.17s\n",
            "1762560 Examples seen. Accuracy: 0.7988 Error: 0.44849 Loss: 0.47353 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.21s\n",
            "1763200 Examples seen. Accuracy: 0.8010 Error: 0.47647 Loss: 0.41273 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "1763840 Examples seen. Accuracy: 0.8002 Error: 0.38395 Loss: 0.35873 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.18s\n",
            "1764480 Examples seen. Accuracy: 0.8012 Error: 0.50008 Loss: 0.50155 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.25s\n",
            "1765120 Examples seen. Accuracy: 0.8027 Error: 0.65825 Loss: 0.90716 Threads: 2 Forward time: 0.65s Backward time: 0.41s Step time: 2.22s\n",
            "1765760 Examples seen. Accuracy: 0.8015 Error: 0.47736 Loss: 0.40542 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "1766400 Examples seen. Accuracy: 0.8046 Error: 0.47484 Loss: 0.56903 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.18s\n",
            "1767040 Examples seen. Accuracy: 0.8026 Error: 0.64641 Loss: 0.68534 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.18s\n",
            "1767680 Examples seen. Accuracy: 0.7990 Error: 0.50818 Loss: 0.51614 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.19s\n",
            "1768320 Examples seen. Accuracy: 0.8013 Error: 0.54735 Loss: 0.57290 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.23s\n",
            "1768960 Examples seen. Accuracy: 0.8028 Error: 0.49311 Loss: 0.47599 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.21s\n",
            "1769600 Examples seen. Accuracy: 0.8011 Error: 0.59937 Loss: 0.71031 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.29s\n",
            "1770240 Examples seen. Accuracy: 0.7988 Error: 0.53670 Loss: 0.49683 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.23s\n",
            "1770880 Examples seen. Accuracy: 0.8017 Error: 0.47663 Loss: 0.44828 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.22s\n",
            "1771520 Examples seen. Accuracy: 0.8028 Error: 0.53370 Loss: 0.48148 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.27s\n",
            "1772160 Examples seen. Accuracy: 0.8010 Error: 0.49904 Loss: 0.42435 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "1772800 Examples seen. Accuracy: 0.8017 Error: 0.56659 Loss: 0.63192 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "1773440 Examples seen. Accuracy: 0.8024 Error: 0.55688 Loss: 0.58150 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "1774080 Examples seen. Accuracy: 0.8039 Error: 0.61437 Loss: 0.68375 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.25s\n",
            "1774720 Examples seen. Accuracy: 0.8041 Error: 0.47213 Loss: 0.47361 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.28s\n",
            "1775360 Examples seen. Accuracy: 0.8044 Error: 0.47128 Loss: 0.51124 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.25s\n",
            "1776000 Examples seen. Accuracy: 0.8009 Error: 0.54083 Loss: 0.59915 Threads: 2 Forward time: 0.70s Backward time: 0.38s Step time: 2.28s\n",
            "1776640 Examples seen. Accuracy: 0.8014 Error: 0.46656 Loss: 0.48497 Threads: 2 Forward time: 0.69s Backward time: 0.37s Step time: 2.24s\n",
            "1777280 Examples seen. Accuracy: 0.8017 Error: 0.61647 Loss: 0.91066 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.26s\n",
            "1777920 Examples seen. Accuracy: 0.8017 Error: 0.49758 Loss: 0.45129 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.24s\n",
            "1778560 Examples seen. Accuracy: 0.8036 Error: 0.59772 Loss: 0.90901 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "1779200 Examples seen. Accuracy: 0.8033 Error: 0.60793 Loss: 0.64957 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.24s\n",
            "1779840 Examples seen. Accuracy: 0.8041 Error: 0.43762 Loss: 0.41248 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.23s\n",
            "1780480 Examples seen. Accuracy: 0.8050 Error: 0.53764 Loss: 0.60561 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.25s\n",
            "1781120 Examples seen. Accuracy: 0.8042 Error: 0.49296 Loss: 0.69129 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.25s\n",
            "1781760 Examples seen. Accuracy: 0.8045 Error: 0.62751 Loss: 0.70030 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.22s\n",
            "1782400 Examples seen. Accuracy: 0.8035 Error: 0.52960 Loss: 0.57779 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.20s\n",
            "1783040 Examples seen. Accuracy: 0.8046 Error: 0.49291 Loss: 0.46135 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "1783680 Examples seen. Accuracy: 0.8032 Error: 0.54193 Loss: 0.57554 Threads: 2 Forward time: 0.66s Backward time: 0.37s Step time: 2.19s\n",
            "1784320 Examples seen. Accuracy: 0.8047 Error: 0.43476 Loss: 0.38966 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.21s\n",
            "1784960 Examples seen. Accuracy: 0.8047 Error: 0.65817 Loss: 0.69461 Threads: 2 Forward time: 0.73s Backward time: 0.42s Step time: 2.23s\n",
            "1785600 Examples seen. Accuracy: 0.8065 Error: 0.40508 Loss: 0.42314 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.25s\n",
            "1786240 Examples seen. Accuracy: 0.8082 Error: 0.39446 Loss: 0.36012 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "1786880 Examples seen. Accuracy: 0.8100 Error: 0.64204 Loss: 0.78158 Threads: 2 Forward time: 0.69s Backward time: 0.37s Step time: 2.24s\n",
            "1787520 Examples seen. Accuracy: 0.8108 Error: 0.45856 Loss: 0.47379 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.22s\n",
            "1788160 Examples seen. Accuracy: 0.8075 Error: 0.52164 Loss: 0.56074 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.21s\n",
            "1788800 Examples seen. Accuracy: 0.8078 Error: 0.55158 Loss: 0.52130 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.21s\n",
            "1789440 Examples seen. Accuracy: 0.8066 Error: 0.55669 Loss: 0.59806 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.20s\n",
            "1790080 Examples seen. Accuracy: 0.8072 Error: 0.50236 Loss: 0.56735 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.20s\n",
            "1790720 Examples seen. Accuracy: 0.8062 Error: 0.54660 Loss: 0.49060 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "1791360 Examples seen. Accuracy: 0.8034 Error: 0.53801 Loss: 0.56514 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.22s\n",
            "1792000 Examples seen. Accuracy: 0.8047 Error: 0.71923 Loss: 0.84937 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "1792640 Examples seen. Accuracy: 0.8043 Error: 0.52414 Loss: 0.56046 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.21s\n",
            "1793280 Examples seen. Accuracy: 0.8037 Error: 0.45257 Loss: 0.46509 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.19s\n",
            "1793920 Examples seen. Accuracy: 0.8059 Error: 0.47616 Loss: 0.48805 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.21s\n",
            "1794560 Examples seen. Accuracy: 0.8071 Error: 0.48401 Loss: 0.46580 Threads: 2 Forward time: 0.66s Backward time: 0.37s Step time: 2.21s\n",
            "1795200 Examples seen. Accuracy: 0.8088 Error: 0.42652 Loss: 0.39704 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.20s\n",
            "1795840 Examples seen. Accuracy: 0.8075 Error: 0.58858 Loss: 0.74968 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.21s\n",
            "1796480 Examples seen. Accuracy: 0.8076 Error: 0.56355 Loss: 0.63541 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.21s\n",
            "1797120 Examples seen. Accuracy: 0.8056 Error: 0.66625 Loss: 0.72501 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.22s\n",
            "1797760 Examples seen. Accuracy: 0.8068 Error: 0.41951 Loss: 0.34286 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.22s\n",
            "1798400 Examples seen. Accuracy: 0.8050 Error: 0.48299 Loss: 0.46655 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.19s\n",
            "1799040 Examples seen. Accuracy: 0.8042 Error: 0.70356 Loss: 0.87311 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.19s\n",
            "1799680 Examples seen. Accuracy: 0.8035 Error: 0.56777 Loss: 0.59480 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.18s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 45 Examples seen:1800000 Validation Accuracy: 0.8446 Validation Error: 0.4384 Validation Loss: 0.4724 Total time: 158.23min\n",
            "Epoch time: 2.2729 minutes. 50 epochs: 1.8941 hours.\n",
            "Epochs: 45. Working time: 2.64 hours.\n",
            "1800640 Examples seen. Accuracy: 0.8050 Error: 0.52892 Loss: 0.57404 Threads: 2 Forward time: 0.67s Backward time: 0.36s Step time: 2.23s\n",
            "1801280 Examples seen. Accuracy: 0.8031 Error: 0.67452 Loss: 0.67926 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.20s\n",
            "1801920 Examples seen. Accuracy: 0.8040 Error: 0.48909 Loss: 0.47363 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.20s\n",
            "1802560 Examples seen. Accuracy: 0.8037 Error: 0.57783 Loss: 0.59355 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.21s\n",
            "1803200 Examples seen. Accuracy: 0.8022 Error: 0.55752 Loss: 0.54343 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.20s\n",
            "1803840 Examples seen. Accuracy: 0.8005 Error: 0.39555 Loss: 0.36763 Threads: 2 Forward time: 0.68s Backward time: 0.36s Step time: 2.20s\n",
            "1804480 Examples seen. Accuracy: 0.7988 Error: 0.65284 Loss: 0.66711 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.18s\n",
            "1805120 Examples seen. Accuracy: 0.8003 Error: 0.37873 Loss: 0.32789 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.23s\n",
            "1805760 Examples seen. Accuracy: 0.7982 Error: 0.46833 Loss: 0.42251 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.23s\n",
            "1806400 Examples seen. Accuracy: 0.7982 Error: 0.54267 Loss: 0.56125 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.20s\n",
            "1807040 Examples seen. Accuracy: 0.7963 Error: 0.62307 Loss: 0.64502 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.21s\n",
            "1807680 Examples seen. Accuracy: 0.7975 Error: 0.42875 Loss: 0.49366 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.20s\n",
            "1808320 Examples seen. Accuracy: 0.7986 Error: 0.54650 Loss: 0.53966 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.19s\n",
            "1808960 Examples seen. Accuracy: 0.7973 Error: 0.61634 Loss: 0.60551 Threads: 2 Forward time: 0.66s Backward time: 0.37s Step time: 2.19s\n",
            "1809600 Examples seen. Accuracy: 0.7984 Error: 0.53018 Loss: 0.53555 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.26s\n",
            "1810240 Examples seen. Accuracy: 0.8032 Error: 0.44516 Loss: 0.45459 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.22s\n",
            "1810880 Examples seen. Accuracy: 0.8017 Error: 0.60931 Loss: 0.72155 Threads: 2 Forward time: 0.72s Backward time: 0.41s Step time: 2.25s\n",
            "1811520 Examples seen. Accuracy: 0.8038 Error: 0.49328 Loss: 0.48755 Threads: 2 Forward time: 0.66s Backward time: 0.37s Step time: 2.22s\n",
            "1812160 Examples seen. Accuracy: 0.8020 Error: 0.55991 Loss: 0.49434 Threads: 2 Forward time: 0.68s Backward time: 0.36s Step time: 2.19s\n",
            "1812800 Examples seen. Accuracy: 0.8016 Error: 0.54640 Loss: 0.48624 Threads: 2 Forward time: 0.66s Backward time: 0.37s Step time: 2.17s\n",
            "1813440 Examples seen. Accuracy: 0.8023 Error: 0.44355 Loss: 0.47625 Threads: 2 Forward time: 0.66s Backward time: 0.37s Step time: 2.18s\n",
            "1814080 Examples seen. Accuracy: 0.8051 Error: 0.42625 Loss: 0.48687 Threads: 2 Forward time: 0.66s Backward time: 0.37s Step time: 2.20s\n",
            "1814720 Examples seen. Accuracy: 0.8052 Error: 0.45487 Loss: 0.46048 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.19s\n",
            "1815360 Examples seen. Accuracy: 0.8074 Error: 0.39120 Loss: 0.37990 Threads: 2 Forward time: 0.69s Backward time: 0.37s Step time: 2.18s\n",
            "1816000 Examples seen. Accuracy: 0.8047 Error: 0.48695 Loss: 0.57066 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.24s\n",
            "1816640 Examples seen. Accuracy: 0.8069 Error: 0.43109 Loss: 0.46597 Threads: 2 Forward time: 0.66s Backward time: 0.37s Step time: 2.21s\n",
            "1817280 Examples seen. Accuracy: 0.8094 Error: 0.39044 Loss: 0.32945 Threads: 2 Forward time: 0.65s Backward time: 0.38s Step time: 2.17s\n",
            "1817920 Examples seen. Accuracy: 0.8115 Error: 0.47312 Loss: 0.45862 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.18s\n",
            "1818560 Examples seen. Accuracy: 0.8107 Error: 0.45257 Loss: 0.45493 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.21s\n",
            "1819200 Examples seen. Accuracy: 0.8089 Error: 0.48358 Loss: 0.39886 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.24s\n",
            "1819840 Examples seen. Accuracy: 0.8078 Error: 0.66989 Loss: 0.74429 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.26s\n",
            "1820480 Examples seen. Accuracy: 0.8076 Error: 0.54592 Loss: 0.60786 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.21s\n",
            "1821120 Examples seen. Accuracy: 0.8081 Error: 0.65073 Loss: 0.64975 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "1821760 Examples seen. Accuracy: 0.8073 Error: 0.51966 Loss: 0.51214 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.23s\n",
            "1822400 Examples seen. Accuracy: 0.8078 Error: 0.41417 Loss: 0.51032 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.23s\n",
            "1823040 Examples seen. Accuracy: 0.8092 Error: 0.44996 Loss: 0.39109 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.25s\n",
            "1823680 Examples seen. Accuracy: 0.8089 Error: 0.36494 Loss: 0.31402 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.23s\n",
            "1824320 Examples seen. Accuracy: 0.8080 Error: 0.40704 Loss: 0.40096 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.25s\n",
            "1824960 Examples seen. Accuracy: 0.8068 Error: 0.39971 Loss: 0.44130 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "1825600 Examples seen. Accuracy: 0.8072 Error: 0.43501 Loss: 0.42799 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.24s\n",
            "1826240 Examples seen. Accuracy: 0.8093 Error: 0.49807 Loss: 0.48128 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.21s\n",
            "1826880 Examples seen. Accuracy: 0.8089 Error: 0.51756 Loss: 0.49040 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.22s\n",
            "1827520 Examples seen. Accuracy: 0.8085 Error: 0.61220 Loss: 0.69765 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.20s\n",
            "1828160 Examples seen. Accuracy: 0.8074 Error: 0.57660 Loss: 0.54822 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.21s\n",
            "1828800 Examples seen. Accuracy: 0.8056 Error: 0.64688 Loss: 0.74264 Threads: 2 Forward time: 0.65s Backward time: 0.40s Step time: 2.21s\n",
            "1829440 Examples seen. Accuracy: 0.8065 Error: 0.48016 Loss: 0.44862 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.22s\n",
            "1830080 Examples seen. Accuracy: 0.8066 Error: 0.55557 Loss: 0.69324 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.22s\n",
            "1830720 Examples seen. Accuracy: 0.8078 Error: 0.52758 Loss: 0.65447 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.24s\n",
            "1831360 Examples seen. Accuracy: 0.8101 Error: 0.40405 Loss: 0.36335 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1832000 Examples seen. Accuracy: 0.8082 Error: 0.76030 Loss: 0.83678 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "1832640 Examples seen. Accuracy: 0.8085 Error: 0.49864 Loss: 0.50153 Threads: 2 Forward time: 0.72s Backward time: 0.39s Step time: 2.26s\n",
            "1833280 Examples seen. Accuracy: 0.8099 Error: 0.52115 Loss: 0.52980 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.30s\n",
            "1833920 Examples seen. Accuracy: 0.8100 Error: 0.56853 Loss: 0.58128 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.25s\n",
            "1834560 Examples seen. Accuracy: 0.8107 Error: 0.43176 Loss: 0.40712 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.21s\n",
            "1835200 Examples seen. Accuracy: 0.8092 Error: 0.41667 Loss: 0.50471 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.23s\n",
            "1835840 Examples seen. Accuracy: 0.8095 Error: 0.55149 Loss: 0.55181 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.22s\n",
            "1836480 Examples seen. Accuracy: 0.8084 Error: 0.65206 Loss: 0.68131 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.20s\n",
            "1837120 Examples seen. Accuracy: 0.8089 Error: 0.54432 Loss: 0.49547 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.21s\n",
            "1837760 Examples seen. Accuracy: 0.8083 Error: 0.53347 Loss: 0.57704 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.22s\n",
            "1838400 Examples seen. Accuracy: 0.8097 Error: 0.44419 Loss: 0.43018 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.23s\n",
            "1839040 Examples seen. Accuracy: 0.8102 Error: 0.60324 Loss: 0.56386 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.25s\n",
            "1839680 Examples seen. Accuracy: 0.8101 Error: 0.58823 Loss: 0.66150 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.22s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 46 Examples seen:1840000 Validation Accuracy: 0.8453 Validation Error: 0.4362 Validation Loss: 0.4698 Total time: 161.58min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.603 Min Weight:  -0.621 Max Output:  5.279 Min Output: -5.942 TNNetConvolutionLinear 32,32,64 Times: 30.19s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  5.279 Min Output: -1.276 TNNetMaxPool 8,8,64 Times: 6.97s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.918 Min Weight:   0.878 Max Output:  4.964 Min Output: -2.498 TNNetMovingStdNormalization 8,8,64 Times: 0.15s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.283 Min Weight:  -0.351 Max Output: 10.346 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.04s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.357 Min Weight:  -0.322 Max Output: 11.125 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 5.91s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.329 Min Weight:  -0.256 Max Output:  7.380 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.12s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.222 Min Weight:  -0.222 Max Output:  3.244 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.02s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  3.244 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.03s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  3.244 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.36s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.325 Min Weight:  -0.268 Max Output:  5.071 Min Output: -10.765 TNNetFullConnectLinear 10,1,1 Times: 0.08s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.502 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Epoch time: 2.3115 minutes. 50 epochs: 1.9262 hours.\n",
            "Epochs: 46. Working time: 2.69 hours.\n",
            "1840640 Examples seen. Accuracy: 0.8102 Error: 0.55662 Loss: 0.58351 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.21s\n",
            "1841280 Examples seen. Accuracy: 0.8109 Error: 0.41912 Loss: 0.41662 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.21s\n",
            "1841920 Examples seen. Accuracy: 0.8099 Error: 0.45860 Loss: 0.40399 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.24s\n",
            "1842560 Examples seen. Accuracy: 0.8089 Error: 0.46133 Loss: 0.45873 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.24s\n",
            "1843200 Examples seen. Accuracy: 0.8083 Error: 0.58055 Loss: 0.62772 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.23s\n",
            "1843840 Examples seen. Accuracy: 0.8087 Error: 0.58673 Loss: 0.63068 Threads: 2 Forward time: 0.66s Backward time: 0.37s Step time: 2.21s\n",
            "1844480 Examples seen. Accuracy: 0.8083 Error: 0.52040 Loss: 0.48312 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.21s\n",
            "1845120 Examples seen. Accuracy: 0.8067 Error: 0.43084 Loss: 0.39708 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.21s\n",
            "1845760 Examples seen. Accuracy: 0.8076 Error: 0.51578 Loss: 0.42925 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.19s\n",
            "1846400 Examples seen. Accuracy: 0.8048 Error: 0.48728 Loss: 0.52615 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.22s\n",
            "1847040 Examples seen. Accuracy: 0.8057 Error: 0.58081 Loss: 0.60979 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1847680 Examples seen. Accuracy: 0.8068 Error: 0.50447 Loss: 0.52621 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.22s\n",
            "1848320 Examples seen. Accuracy: 0.8057 Error: 0.62777 Loss: 0.71009 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.20s\n",
            "1848960 Examples seen. Accuracy: 0.8046 Error: 0.45940 Loss: 0.41186 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.21s\n",
            "1849600 Examples seen. Accuracy: 0.8074 Error: 0.42752 Loss: 0.38793 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.20s\n",
            "1850240 Examples seen. Accuracy: 0.8056 Error: 0.40054 Loss: 0.42970 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.20s\n",
            "1850880 Examples seen. Accuracy: 0.8046 Error: 0.50943 Loss: 0.52923 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.23s\n",
            "1851520 Examples seen. Accuracy: 0.8040 Error: 0.44184 Loss: 0.55754 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.24s\n",
            "1852160 Examples seen. Accuracy: 0.8045 Error: 0.64845 Loss: 0.69677 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "1852800 Examples seen. Accuracy: 0.8033 Error: 0.62132 Loss: 0.77121 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.24s\n",
            "1853440 Examples seen. Accuracy: 0.8050 Error: 0.51346 Loss: 0.55101 Threads: 2 Forward time: 0.74s Backward time: 0.40s Step time: 2.30s\n",
            "1854080 Examples seen. Accuracy: 0.8043 Error: 0.47881 Loss: 0.49318 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.27s\n",
            "1854720 Examples seen. Accuracy: 0.8035 Error: 0.57762 Loss: 0.56085 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.22s\n",
            "1855360 Examples seen. Accuracy: 0.8055 Error: 0.48882 Loss: 0.54016 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.22s\n",
            "1856000 Examples seen. Accuracy: 0.8059 Error: 0.39939 Loss: 0.41297 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.23s\n",
            "1856640 Examples seen. Accuracy: 0.8084 Error: 0.48090 Loss: 0.48291 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.25s\n",
            "1857280 Examples seen. Accuracy: 0.8089 Error: 0.44803 Loss: 0.52942 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.20s\n",
            "1857920 Examples seen. Accuracy: 0.8083 Error: 0.47875 Loss: 0.53443 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.25s\n",
            "1858560 Examples seen. Accuracy: 0.8069 Error: 0.48345 Loss: 0.49016 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.25s\n",
            "1859200 Examples seen. Accuracy: 0.8073 Error: 0.47541 Loss: 0.49879 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.25s\n",
            "1859840 Examples seen. Accuracy: 0.8093 Error: 0.35205 Loss: 0.33276 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.20s\n",
            "1860480 Examples seen. Accuracy: 0.8083 Error: 0.48212 Loss: 0.58720 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.22s\n",
            "1861120 Examples seen. Accuracy: 0.8092 Error: 0.71481 Loss: 0.79775 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.18s\n",
            "1861760 Examples seen. Accuracy: 0.8098 Error: 0.50361 Loss: 0.50614 Threads: 2 Forward time: 0.66s Backward time: 0.37s Step time: 2.18s\n",
            "1862400 Examples seen. Accuracy: 0.8084 Error: 0.55415 Loss: 0.58423 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.21s\n",
            "1863040 Examples seen. Accuracy: 0.8089 Error: 0.62718 Loss: 0.66836 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.23s\n",
            "1863680 Examples seen. Accuracy: 0.8090 Error: 0.37687 Loss: 0.32353 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.25s\n",
            "1864320 Examples seen. Accuracy: 0.8090 Error: 0.51290 Loss: 0.55429 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.22s\n",
            "1864960 Examples seen. Accuracy: 0.8084 Error: 0.41410 Loss: 0.40580 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.20s\n",
            "1865600 Examples seen. Accuracy: 0.8061 Error: 0.50324 Loss: 0.53725 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.19s\n",
            "1866240 Examples seen. Accuracy: 0.8048 Error: 0.59008 Loss: 0.80487 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.19s\n",
            "1866880 Examples seen. Accuracy: 0.8053 Error: 0.51714 Loss: 0.64627 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.19s\n",
            "1867520 Examples seen. Accuracy: 0.8049 Error: 0.61171 Loss: 0.63743 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.18s\n",
            "1868160 Examples seen. Accuracy: 0.8050 Error: 0.58211 Loss: 0.60876 Threads: 2 Forward time: 0.67s Backward time: 0.36s Step time: 2.19s\n",
            "1868800 Examples seen. Accuracy: 0.8063 Error: 0.39926 Loss: 0.38141 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.20s\n",
            "1869440 Examples seen. Accuracy: 0.8059 Error: 0.44298 Loss: 0.57650 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.23s\n",
            "1870080 Examples seen. Accuracy: 0.8031 Error: 0.39993 Loss: 0.36993 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.27s\n",
            "1870720 Examples seen. Accuracy: 0.8033 Error: 0.51379 Loss: 0.64816 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.21s\n",
            "1871360 Examples seen. Accuracy: 0.8020 Error: 0.35818 Loss: 0.35101 Threads: 2 Forward time: 0.72s Backward time: 0.41s Step time: 2.24s\n",
            "1872000 Examples seen. Accuracy: 0.7990 Error: 0.52422 Loss: 0.48197 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.31s\n",
            "1872640 Examples seen. Accuracy: 0.8000 Error: 0.43256 Loss: 0.50256 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.20s\n",
            "1873280 Examples seen. Accuracy: 0.8009 Error: 0.55520 Loss: 0.60948 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.21s\n",
            "1873920 Examples seen. Accuracy: 0.8036 Error: 0.44829 Loss: 0.39442 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "1874560 Examples seen. Accuracy: 0.8031 Error: 0.54034 Loss: 0.50079 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.21s\n",
            "1875200 Examples seen. Accuracy: 0.8047 Error: 0.43847 Loss: 0.47462 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "1875840 Examples seen. Accuracy: 0.8076 Error: 0.34572 Loss: 0.26925 Threads: 2 Forward time: 0.71s Backward time: 0.43s Step time: 2.25s\n",
            "1876480 Examples seen. Accuracy: 0.8081 Error: 0.48546 Loss: 0.46712 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.26s\n",
            "1877120 Examples seen. Accuracy: 0.8082 Error: 0.44968 Loss: 0.56125 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.25s\n",
            "1877760 Examples seen. Accuracy: 0.8119 Error: 0.48711 Loss: 0.47384 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1878400 Examples seen. Accuracy: 0.8125 Error: 0.46647 Loss: 0.43919 Threads: 2 Forward time: 0.72s Backward time: 0.41s Step time: 2.26s\n",
            "1879040 Examples seen. Accuracy: 0.8119 Error: 0.48567 Loss: 0.48658 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.26s\n",
            "1879680 Examples seen. Accuracy: 0.8086 Error: 0.50921 Loss: 0.54014 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.22s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 47 Examples seen:1880000 Validation Accuracy: 0.8461 Validation Error: 0.4358 Validation Loss: 0.4672 Total time: 164.95min\n",
            "Epoch time: 2.3156 minutes. 50 epochs: 1.9297 hours.\n",
            "Epochs: 47. Working time: 2.75 hours.\n",
            "1880640 Examples seen. Accuracy: 0.8078 Error: 0.54139 Loss: 0.56009 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.26s\n",
            "1881280 Examples seen. Accuracy: 0.8081 Error: 0.56727 Loss: 0.68376 Threads: 2 Forward time: 0.70s Backward time: 0.39s Step time: 2.21s\n",
            "1881920 Examples seen. Accuracy: 0.8099 Error: 0.49809 Loss: 0.43852 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.22s\n",
            "1882560 Examples seen. Accuracy: 0.8106 Error: 0.61307 Loss: 0.66965 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.21s\n",
            "1883200 Examples seen. Accuracy: 0.8106 Error: 0.58100 Loss: 0.75292 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "1883840 Examples seen. Accuracy: 0.8100 Error: 0.47796 Loss: 0.54201 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.18s\n",
            "1884480 Examples seen. Accuracy: 0.8087 Error: 0.60912 Loss: 0.61059 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.20s\n",
            "1885120 Examples seen. Accuracy: 0.8078 Error: 0.50626 Loss: 0.60628 Threads: 2 Forward time: 0.72s Backward time: 0.38s Step time: 2.26s\n",
            "1885760 Examples seen. Accuracy: 0.8063 Error: 0.40853 Loss: 0.41381 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.21s\n",
            "1886400 Examples seen. Accuracy: 0.8082 Error: 0.39194 Loss: 0.36214 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.21s\n",
            "1887040 Examples seen. Accuracy: 0.8087 Error: 0.56075 Loss: 0.75945 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.19s\n",
            "1887680 Examples seen. Accuracy: 0.8104 Error: 0.56582 Loss: 0.70844 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.25s\n",
            "1888320 Examples seen. Accuracy: 0.8086 Error: 0.55529 Loss: 0.61516 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.24s\n",
            "1888960 Examples seen. Accuracy: 0.8080 Error: 0.54487 Loss: 0.69047 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.28s\n",
            "1889600 Examples seen. Accuracy: 0.8081 Error: 0.47768 Loss: 0.49453 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "1890240 Examples seen. Accuracy: 0.8070 Error: 0.50376 Loss: 0.44492 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.20s\n",
            "1890880 Examples seen. Accuracy: 0.8088 Error: 0.55881 Loss: 0.52958 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "1891520 Examples seen. Accuracy: 0.8093 Error: 0.51281 Loss: 0.48524 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.25s\n",
            "1892160 Examples seen. Accuracy: 0.8078 Error: 0.49099 Loss: 0.53273 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.20s\n",
            "1892800 Examples seen. Accuracy: 0.8055 Error: 0.48062 Loss: 0.52319 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.20s\n",
            "1893440 Examples seen. Accuracy: 0.8066 Error: 0.54917 Loss: 0.69473 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "1894080 Examples seen. Accuracy: 0.8054 Error: 0.54562 Loss: 0.82806 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.20s\n",
            "1894720 Examples seen. Accuracy: 0.8063 Error: 0.54859 Loss: 0.55954 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.21s\n",
            "1895360 Examples seen. Accuracy: 0.8057 Error: 0.53813 Loss: 0.62381 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.24s\n",
            "1896000 Examples seen. Accuracy: 0.8054 Error: 0.58170 Loss: 0.62785 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.28s\n",
            "1896640 Examples seen. Accuracy: 0.8037 Error: 0.59521 Loss: 0.63108 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.22s\n",
            "1897280 Examples seen. Accuracy: 0.8029 Error: 0.43521 Loss: 0.44068 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.24s\n",
            "1897920 Examples seen. Accuracy: 0.8008 Error: 0.56656 Loss: 0.59633 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.21s\n",
            "1898560 Examples seen. Accuracy: 0.8048 Error: 0.56983 Loss: 0.61642 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.21s\n",
            "1899200 Examples seen. Accuracy: 0.8038 Error: 0.62338 Loss: 0.77100 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.21s\n",
            "1899840 Examples seen. Accuracy: 0.8056 Error: 0.50801 Loss: 0.58874 Threads: 2 Forward time: 0.71s Backward time: 0.41s Step time: 2.19s\n",
            "1900480 Examples seen. Accuracy: 0.8072 Error: 0.51230 Loss: 0.65778 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.24s\n",
            "1901120 Examples seen. Accuracy: 0.8053 Error: 0.44799 Loss: 0.44683 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.23s\n",
            "1901760 Examples seen. Accuracy: 0.8059 Error: 0.53390 Loss: 0.66761 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.22s\n",
            "1902400 Examples seen. Accuracy: 0.8093 Error: 0.48644 Loss: 0.55300 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.21s\n",
            "1903040 Examples seen. Accuracy: 0.8082 Error: 0.49504 Loss: 0.52673 Threads: 2 Forward time: 0.71s Backward time: 0.40s Step time: 2.20s\n",
            "1903680 Examples seen. Accuracy: 0.8057 Error: 0.50122 Loss: 0.60549 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.20s\n",
            "1904320 Examples seen. Accuracy: 0.8043 Error: 0.63480 Loss: 0.67013 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.20s\n",
            "1904960 Examples seen. Accuracy: 0.8055 Error: 0.47658 Loss: 0.59252 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.21s\n",
            "1905600 Examples seen. Accuracy: 0.8044 Error: 0.53787 Loss: 0.60134 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.20s\n",
            "1906240 Examples seen. Accuracy: 0.8060 Error: 0.46180 Loss: 0.49688 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.22s\n",
            "1906880 Examples seen. Accuracy: 0.8052 Error: 0.60323 Loss: 0.84103 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.21s\n",
            "1907520 Examples seen. Accuracy: 0.8063 Error: 0.38955 Loss: 0.35543 Threads: 2 Forward time: 0.72s Backward time: 0.39s Step time: 2.23s\n",
            "1908160 Examples seen. Accuracy: 0.8086 Error: 0.32895 Loss: 0.30417 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.24s\n",
            "1908800 Examples seen. Accuracy: 0.8081 Error: 0.51247 Loss: 0.53960 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.26s\n",
            "1909440 Examples seen. Accuracy: 0.8078 Error: 0.49790 Loss: 0.46333 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.26s\n",
            "1910080 Examples seen. Accuracy: 0.8107 Error: 0.57926 Loss: 0.70562 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.26s\n",
            "1910720 Examples seen. Accuracy: 0.8104 Error: 0.37037 Loss: 0.34442 Threads: 2 Forward time: 0.70s Backward time: 0.42s Step time: 2.23s\n",
            "1911360 Examples seen. Accuracy: 0.8117 Error: 0.47477 Loss: 0.43443 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1912000 Examples seen. Accuracy: 0.8113 Error: 0.57675 Loss: 0.71690 Threads: 2 Forward time: 0.69s Backward time: 0.38s Step time: 2.23s\n",
            "1912640 Examples seen. Accuracy: 0.8114 Error: 0.60334 Loss: 0.70678 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.23s\n",
            "1913280 Examples seen. Accuracy: 0.8095 Error: 0.54639 Loss: 0.49200 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.21s\n",
            "1913920 Examples seen. Accuracy: 0.8086 Error: 0.65630 Loss: 0.67223 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.22s\n",
            "1914560 Examples seen. Accuracy: 0.8084 Error: 0.37847 Loss: 0.35262 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.21s\n",
            "1915200 Examples seen. Accuracy: 0.8067 Error: 0.54743 Loss: 0.54633 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.21s\n",
            "1915840 Examples seen. Accuracy: 0.8074 Error: 0.67685 Loss: 0.81249 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.22s\n",
            "1916480 Examples seen. Accuracy: 0.8070 Error: 0.48081 Loss: 0.54769 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.22s\n",
            "1917120 Examples seen. Accuracy: 0.8069 Error: 0.62720 Loss: 0.60286 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.19s\n",
            "1917760 Examples seen. Accuracy: 0.8077 Error: 0.59288 Loss: 0.66478 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.23s\n",
            "1918400 Examples seen. Accuracy: 0.8069 Error: 0.45460 Loss: 0.45116 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "1919040 Examples seen. Accuracy: 0.8099 Error: 0.40712 Loss: 0.30144 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.19s\n",
            "1919680 Examples seen. Accuracy: 0.8110 Error: 0.57006 Loss: 0.55709 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.19s\n",
            "Starting Validation.\n",
            "VALIDATION RECORD! Saving NN at SimpleImageClassifier-64.nn\n",
            "Epochs: 48 Examples seen:1920000 Validation Accuracy: 0.8471 Validation Error: 0.4340 Validation Loss: 0.4655 Total time: 168.31min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.615 Min Weight:  -0.624 Max Output:  5.370 Min Output: -5.961 TNNetConvolutionLinear 32,32,64 Times: 30.17s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  5.370 Min Output: -1.308 TNNetMaxPool 8,8,64 Times: 6.89s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.928 Min Weight:   0.888 Max Output:  5.003 Min Output: -2.518 TNNetMovingStdNormalization 8,8,64 Times: 0.14s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.287 Min Weight:  -0.361 Max Output: 10.704 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.26s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.366 Min Weight:  -0.329 Max Output: 11.567 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.11s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.341 Min Weight:  -0.262 Max Output:  7.479 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.27s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.220 Min Weight:  -0.222 Max Output:  3.229 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.17s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  3.229 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.04s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  3.229 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.40s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.322 Min Weight:  -0.269 Max Output:  5.344 Min Output: -10.851 TNNetFullConnectLinear 10,1,1 Times: 0.12s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.541 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Epoch time: 2.2833 minutes. 50 epochs: 1.9028 hours.\n",
            "Epochs: 48. Working time: 2.81 hours.\n",
            "1920640 Examples seen. Accuracy: 0.8138 Error: 0.50093 Loss: 0.50409 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.21s\n",
            "1921280 Examples seen. Accuracy: 0.8136 Error: 0.42382 Loss: 0.38492 Threads: 2 Forward time: 0.67s Backward time: 0.42s Step time: 2.25s\n",
            "1921920 Examples seen. Accuracy: 0.8121 Error: 0.64389 Loss: 0.69866 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.22s\n",
            "1922560 Examples seen. Accuracy: 0.8096 Error: 0.59103 Loss: 0.71368 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1923200 Examples seen. Accuracy: 0.8098 Error: 0.49093 Loss: 0.49587 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.27s\n",
            "1923840 Examples seen. Accuracy: 0.8110 Error: 0.56455 Loss: 0.58051 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.26s\n",
            "1924480 Examples seen. Accuracy: 0.8114 Error: 0.47479 Loss: 0.55061 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.22s\n",
            "1925120 Examples seen. Accuracy: 0.8111 Error: 0.46263 Loss: 0.50340 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.20s\n",
            "1925760 Examples seen. Accuracy: 0.8095 Error: 0.60998 Loss: 0.71820 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.22s\n",
            "1926400 Examples seen. Accuracy: 0.8105 Error: 0.36097 Loss: 0.40560 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.20s\n",
            "1927040 Examples seen. Accuracy: 0.8106 Error: 0.50679 Loss: 0.46585 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "1927680 Examples seen. Accuracy: 0.8109 Error: 0.55296 Loss: 0.54762 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.22s\n",
            "1928320 Examples seen. Accuracy: 0.8120 Error: 0.55677 Loss: 0.64495 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.20s\n",
            "1928960 Examples seen. Accuracy: 0.8130 Error: 0.46066 Loss: 0.44279 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.18s\n",
            "1929600 Examples seen. Accuracy: 0.8140 Error: 0.41416 Loss: 0.38152 Threads: 2 Forward time: 0.72s Backward time: 0.41s Step time: 2.24s\n",
            "1930240 Examples seen. Accuracy: 0.8148 Error: 0.45348 Loss: 0.44263 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.25s\n",
            "1930880 Examples seen. Accuracy: 0.8099 Error: 0.63283 Loss: 0.67863 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.21s\n",
            "1931520 Examples seen. Accuracy: 0.8086 Error: 0.51092 Loss: 0.49371 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.27s\n",
            "1932160 Examples seen. Accuracy: 0.8102 Error: 0.44514 Loss: 0.43048 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.25s\n",
            "1932800 Examples seen. Accuracy: 0.8094 Error: 0.63867 Loss: 0.62604 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.25s\n",
            "1933440 Examples seen. Accuracy: 0.8124 Error: 0.47405 Loss: 0.44067 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.21s\n",
            "1934080 Examples seen. Accuracy: 0.8132 Error: 0.36214 Loss: 0.34664 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.21s\n",
            "1934720 Examples seen. Accuracy: 0.8126 Error: 0.48852 Loss: 0.40766 Threads: 2 Forward time: 0.70s Backward time: 0.38s Step time: 2.25s\n",
            "1935360 Examples seen. Accuracy: 0.8107 Error: 0.55911 Loss: 0.59137 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.26s\n",
            "1936000 Examples seen. Accuracy: 0.8097 Error: 0.63318 Loss: 0.56502 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.24s\n",
            "1936640 Examples seen. Accuracy: 0.8102 Error: 0.48249 Loss: 0.45195 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.21s\n",
            "1937280 Examples seen. Accuracy: 0.8136 Error: 0.52887 Loss: 0.48031 Threads: 2 Forward time: 0.65s Backward time: 0.37s Step time: 2.20s\n",
            "1937920 Examples seen. Accuracy: 0.8133 Error: 0.37443 Loss: 0.36349 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.19s\n",
            "1938560 Examples seen. Accuracy: 0.8113 Error: 0.59044 Loss: 0.69063 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.21s\n",
            "1939200 Examples seen. Accuracy: 0.8103 Error: 0.54198 Loss: 0.54411 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "1939840 Examples seen. Accuracy: 0.8099 Error: 0.48984 Loss: 0.50818 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.27s\n",
            "1940480 Examples seen. Accuracy: 0.8121 Error: 0.59723 Loss: 0.68765 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.25s\n",
            "1941120 Examples seen. Accuracy: 0.8104 Error: 0.61404 Loss: 0.65054 Threads: 2 Forward time: 0.66s Backward time: 0.39s Step time: 2.19s\n",
            "1941760 Examples seen. Accuracy: 0.8110 Error: 0.58600 Loss: 0.83993 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.18s\n",
            "1942400 Examples seen. Accuracy: 0.8119 Error: 0.42922 Loss: 0.44746 Threads: 2 Forward time: 0.65s Backward time: 0.39s Step time: 2.20s\n",
            "1943040 Examples seen. Accuracy: 0.8103 Error: 0.47263 Loss: 0.55942 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.21s\n",
            "1943680 Examples seen. Accuracy: 0.8069 Error: 0.48092 Loss: 0.45713 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.19s\n",
            "1944320 Examples seen. Accuracy: 0.8077 Error: 0.46355 Loss: 0.42463 Threads: 2 Forward time: 0.73s Backward time: 0.42s Step time: 2.25s\n",
            "1944960 Examples seen. Accuracy: 0.8068 Error: 0.48739 Loss: 0.46850 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.23s\n",
            "1945600 Examples seen. Accuracy: 0.8078 Error: 0.58375 Loss: 0.79021 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "1946240 Examples seen. Accuracy: 0.8083 Error: 0.44738 Loss: 0.39088 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.19s\n",
            "1946880 Examples seen. Accuracy: 0.8089 Error: 0.52736 Loss: 0.59547 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.22s\n",
            "1947520 Examples seen. Accuracy: 0.8101 Error: 0.47553 Loss: 0.45973 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.20s\n",
            "1948160 Examples seen. Accuracy: 0.8104 Error: 0.58103 Loss: 0.77457 Threads: 2 Forward time: 0.70s Backward time: 0.37s Step time: 2.23s\n",
            "1948800 Examples seen. Accuracy: 0.8092 Error: 0.55348 Loss: 0.60071 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "1949440 Examples seen. Accuracy: 0.8118 Error: 0.47113 Loss: 0.43825 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.22s\n",
            "1950080 Examples seen. Accuracy: 0.8140 Error: 0.46416 Loss: 0.47955 Threads: 2 Forward time: 0.70s Backward time: 0.38s Step time: 2.23s\n",
            "1950720 Examples seen. Accuracy: 0.8129 Error: 0.49415 Loss: 0.45426 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.23s\n",
            "1951360 Examples seen. Accuracy: 0.8123 Error: 0.57079 Loss: 0.56431 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.25s\n",
            "1952000 Examples seen. Accuracy: 0.8126 Error: 0.61713 Loss: 0.60112 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.21s\n",
            "1952640 Examples seen. Accuracy: 0.8140 Error: 0.33224 Loss: 0.29115 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.21s\n",
            "1953280 Examples seen. Accuracy: 0.8129 Error: 0.53382 Loss: 0.50491 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.20s\n",
            "1953920 Examples seen. Accuracy: 0.8121 Error: 0.54572 Loss: 0.58553 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.19s\n",
            "1954560 Examples seen. Accuracy: 0.8092 Error: 0.54420 Loss: 0.49624 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.21s\n",
            "1955200 Examples seen. Accuracy: 0.8116 Error: 0.46305 Loss: 0.45468 Threads: 2 Forward time: 0.68s Backward time: 0.37s Step time: 2.20s\n",
            "1955840 Examples seen. Accuracy: 0.8116 Error: 0.53085 Loss: 0.60465 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.22s\n",
            "1956480 Examples seen. Accuracy: 0.8125 Error: 0.60005 Loss: 0.62657 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.20s\n",
            "1957120 Examples seen. Accuracy: 0.8133 Error: 0.62648 Loss: 0.67181 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.19s\n",
            "1957760 Examples seen. Accuracy: 0.8141 Error: 0.59660 Loss: 0.64000 Threads: 2 Forward time: 0.67s Backward time: 0.37s Step time: 2.19s\n",
            "1958400 Examples seen. Accuracy: 0.8153 Error: 0.53871 Loss: 0.60181 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.20s\n",
            "1959040 Examples seen. Accuracy: 0.8145 Error: 0.54917 Loss: 0.50352 Threads: 2 Forward time: 0.68s Backward time: 0.40s Step time: 2.19s\n",
            "1959680 Examples seen. Accuracy: 0.8110 Error: 0.57082 Loss: 0.70858 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.21s\n",
            "Starting Validation.\n",
            "Epochs: 49 Examples seen:1960000 Validation Accuracy: 0.8467 Validation Error: 0.4330 Validation Loss: 0.4670 Total time: 171.67min\n",
            "Epoch time: 2.3000 minutes. 50 epochs: 1.9167 hours.\n",
            "Epochs: 49. Working time: 2.86 hours.\n",
            "1960640 Examples seen. Accuracy: 0.8100 Error: 0.45957 Loss: 0.40462 Threads: 2 Forward time: 0.68s Backward time: 0.43s Step time: 2.34s\n",
            "1961280 Examples seen. Accuracy: 0.8089 Error: 0.57411 Loss: 0.71178 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.32s\n",
            "1961920 Examples seen. Accuracy: 0.8070 Error: 0.58835 Loss: 0.72774 Threads: 2 Forward time: 0.72s Backward time: 0.42s Step time: 2.32s\n",
            "1962560 Examples seen. Accuracy: 0.8071 Error: 0.51441 Loss: 0.56713 Threads: 2 Forward time: 0.79s Backward time: 0.45s Step time: 2.38s\n",
            "1963200 Examples seen. Accuracy: 0.8057 Error: 0.60466 Loss: 0.61726 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.40s\n",
            "1963840 Examples seen. Accuracy: 0.8063 Error: 0.42496 Loss: 0.37403 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.29s\n",
            "1964480 Examples seen. Accuracy: 0.8067 Error: 0.57526 Loss: 0.63215 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.25s\n",
            "1965120 Examples seen. Accuracy: 0.8054 Error: 0.55087 Loss: 0.53794 Threads: 2 Forward time: 0.72s Backward time: 0.43s Step time: 2.24s\n",
            "1965760 Examples seen. Accuracy: 0.8055 Error: 0.45622 Loss: 0.43673 Threads: 2 Forward time: 0.70s Backward time: 0.38s Step time: 2.24s\n",
            "1966400 Examples seen. Accuracy: 0.8067 Error: 0.58231 Loss: 0.64266 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.23s\n",
            "1967040 Examples seen. Accuracy: 0.8060 Error: 0.54395 Loss: 0.53295 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.22s\n",
            "1967680 Examples seen. Accuracy: 0.8037 Error: 0.65669 Loss: 0.63776 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.23s\n",
            "1968320 Examples seen. Accuracy: 0.8030 Error: 0.59404 Loss: 0.74615 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.24s\n",
            "1968960 Examples seen. Accuracy: 0.8041 Error: 0.67324 Loss: 0.71918 Threads: 2 Forward time: 0.67s Backward time: 0.41s Step time: 2.24s\n",
            "1969600 Examples seen. Accuracy: 0.8062 Error: 0.46650 Loss: 0.51092 Threads: 2 Forward time: 0.69s Backward time: 0.39s Step time: 2.26s\n",
            "1970240 Examples seen. Accuracy: 0.8065 Error: 0.43729 Loss: 0.37835 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.26s\n",
            "1970880 Examples seen. Accuracy: 0.8077 Error: 0.53524 Loss: 0.63282 Threads: 2 Forward time: 0.71s Backward time: 0.42s Step time: 2.28s\n",
            "1971520 Examples seen. Accuracy: 0.8070 Error: 0.64358 Loss: 0.71935 Threads: 2 Forward time: 0.72s Backward time: 0.42s Step time: 2.29s\n",
            "1972160 Examples seen. Accuracy: 0.8073 Error: 0.48978 Loss: 0.41765 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.27s\n",
            "1972800 Examples seen. Accuracy: 0.8065 Error: 0.49182 Loss: 0.59439 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.26s\n",
            "1973440 Examples seen. Accuracy: 0.8052 Error: 0.54001 Loss: 0.56961 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.28s\n",
            "1974080 Examples seen. Accuracy: 0.8065 Error: 0.42105 Loss: 0.43186 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.23s\n",
            "1974720 Examples seen. Accuracy: 0.8100 Error: 0.35631 Loss: 0.31772 Threads: 2 Forward time: 0.72s Backward time: 0.41s Step time: 2.24s\n",
            "1975360 Examples seen. Accuracy: 0.8102 Error: 0.60557 Loss: 0.63095 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.26s\n",
            "1976000 Examples seen. Accuracy: 0.8126 Error: 0.60133 Loss: 0.68636 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.29s\n",
            "1976640 Examples seen. Accuracy: 0.8126 Error: 0.46255 Loss: 0.44511 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.27s\n",
            "1977280 Examples seen. Accuracy: 0.8142 Error: 0.42302 Loss: 0.47326 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.26s\n",
            "1977920 Examples seen. Accuracy: 0.8155 Error: 0.52442 Loss: 0.52183 Threads: 2 Forward time: 0.70s Backward time: 0.38s Step time: 2.27s\n",
            "1978560 Examples seen. Accuracy: 0.8158 Error: 0.51094 Loss: 0.46228 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "1979200 Examples seen. Accuracy: 0.8150 Error: 0.59783 Loss: 0.59793 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.31s\n",
            "1979840 Examples seen. Accuracy: 0.8158 Error: 0.47901 Loss: 0.51368 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.25s\n",
            "1980480 Examples seen. Accuracy: 0.8152 Error: 0.39612 Loss: 0.40619 Threads: 2 Forward time: 0.72s Backward time: 0.42s Step time: 2.27s\n",
            "1981120 Examples seen. Accuracy: 0.8149 Error: 0.50504 Loss: 0.49437 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.23s\n",
            "1981760 Examples seen. Accuracy: 0.8124 Error: 0.49318 Loss: 0.53465 Threads: 2 Forward time: 0.71s Backward time: 0.37s Step time: 2.24s\n",
            "1982400 Examples seen. Accuracy: 0.8100 Error: 0.62628 Loss: 0.69793 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.24s\n",
            "1983040 Examples seen. Accuracy: 0.8098 Error: 0.49406 Loss: 0.49361 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.26s\n",
            "1983680 Examples seen. Accuracy: 0.8098 Error: 0.48432 Loss: 0.47630 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.32s\n",
            "1984320 Examples seen. Accuracy: 0.8094 Error: 0.53666 Loss: 0.54689 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.24s\n",
            "1984960 Examples seen. Accuracy: 0.8061 Error: 0.48903 Loss: 0.50320 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.22s\n",
            "1985600 Examples seen. Accuracy: 0.8062 Error: 0.57331 Loss: 0.61513 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "1986240 Examples seen. Accuracy: 0.8065 Error: 0.47005 Loss: 0.43056 Threads: 2 Forward time: 0.66s Backward time: 0.41s Step time: 2.22s\n",
            "1986880 Examples seen. Accuracy: 0.8076 Error: 0.44742 Loss: 0.49716 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.24s\n",
            "1987520 Examples seen. Accuracy: 0.8073 Error: 0.57827 Loss: 0.53313 Threads: 2 Forward time: 0.69s Backward time: 0.41s Step time: 2.25s\n",
            "1988160 Examples seen. Accuracy: 0.8077 Error: 0.54712 Loss: 0.60738 Threads: 2 Forward time: 0.67s Backward time: 0.40s Step time: 2.23s\n",
            "1988800 Examples seen. Accuracy: 0.8114 Error: 0.34752 Loss: 0.36562 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.23s\n",
            "1989440 Examples seen. Accuracy: 0.8105 Error: 0.47211 Loss: 0.54768 Threads: 2 Forward time: 0.68s Backward time: 0.38s Step time: 2.24s\n",
            "1990080 Examples seen. Accuracy: 0.8114 Error: 0.48211 Loss: 0.48761 Threads: 2 Forward time: 0.69s Backward time: 0.40s Step time: 2.26s\n",
            "1990720 Examples seen. Accuracy: 0.8129 Error: 0.38580 Loss: 0.37487 Threads: 2 Forward time: 0.66s Backward time: 0.40s Step time: 2.25s\n",
            "1991360 Examples seen. Accuracy: 0.8147 Error: 0.37795 Loss: 0.31157 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.23s\n",
            "1992000 Examples seen. Accuracy: 0.8120 Error: 0.55512 Loss: 0.75219 Threads: 2 Forward time: 0.68s Backward time: 0.42s Step time: 2.25s\n",
            "1992640 Examples seen. Accuracy: 0.8124 Error: 0.46599 Loss: 0.44235 Threads: 2 Forward time: 0.67s Backward time: 0.38s Step time: 2.24s\n",
            "1993280 Examples seen. Accuracy: 0.8118 Error: 0.38527 Loss: 0.33272 Threads: 2 Forward time: 0.70s Backward time: 0.40s Step time: 2.24s\n",
            "1993920 Examples seen. Accuracy: 0.8093 Error: 0.70269 Loss: 0.79818 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.22s\n",
            "1994560 Examples seen. Accuracy: 0.8082 Error: 0.52381 Loss: 0.50207 Threads: 2 Forward time: 0.69s Backward time: 0.37s Step time: 2.21s\n",
            "1995200 Examples seen. Accuracy: 0.8065 Error: 0.45808 Loss: 0.43119 Threads: 2 Forward time: 0.66s Backward time: 0.38s Step time: 2.22s\n",
            "1995840 Examples seen. Accuracy: 0.8091 Error: 0.48418 Loss: 0.61899 Threads: 2 Forward time: 0.68s Backward time: 0.39s Step time: 2.24s\n",
            "1996480 Examples seen. Accuracy: 0.8083 Error: 0.53391 Loss: 0.53823 Threads: 2 Forward time: 0.68s Backward time: 0.41s Step time: 2.24s\n",
            "1997120 Examples seen. Accuracy: 0.8079 Error: 0.47216 Loss: 0.51692 Threads: 2 Forward time: 0.69s Backward time: 0.42s Step time: 2.25s\n",
            "1997760 Examples seen. Accuracy: 0.8078 Error: 0.56156 Loss: 0.68294 Threads: 2 Forward time: 0.67s Backward time: 0.39s Step time: 2.24s\n",
            "1998400 Examples seen. Accuracy: 0.8047 Error: 0.52817 Loss: 0.55287 Threads: 2 Forward time: 0.71s Backward time: 0.39s Step time: 2.29s\n",
            "1999040 Examples seen. Accuracy: 0.8064 Error: 0.52653 Loss: 0.52088 Threads: 2 Forward time: 0.70s Backward time: 0.37s Step time: 2.27s\n",
            "1999680 Examples seen. Accuracy: 0.8079 Error: 0.45205 Loss: 0.43995 Threads: 2 Forward time: 0.70s Backward time: 0.41s Step time: 2.22s\n",
            "Starting Validation.\n",
            "Epochs: 50 Examples seen:2000000 Validation Accuracy: 0.8461 Validation Error: 0.4314 Validation Loss: 0.4663 Total time: 175.07min\n",
            "Layer  0                                                     Max Output:  1.672 Min Output: -1.922 TNNetInput 32,32,3 Times: 0.00s 0.00s\n",
            "Layer  1 Neurons: 64 Max Weight:   0.626 Min Weight:  -0.628 Max Output:  5.432 Min Output: -5.954 TNNetConvolutionLinear 32,32,64 Times: 30.24s 0.07s Parent:0\n",
            "Layer  2                                                     Max Output:  5.432 Min Output: -1.371 TNNetMaxPool 8,8,64 Times: 7.01s 0.00s Parent:1\n",
            "Layer  3 Neurons:  1 Max Weight:   0.937 Min Weight:   0.897 Max Output:  5.009 Min Output: -2.571 TNNetMovingStdNormalization 8,8,64 Times: 0.14s 0.00s Parent:2\n",
            "Layer  4 Neurons: 64 Max Weight:   0.290 Min Weight:  -0.370 Max Output: 10.887 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.22s 0.04s Parent:3\n",
            "Layer  5 Neurons: 64 Max Weight:   0.376 Min Weight:  -0.336 Max Output: 11.827 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.13s 0.03s Parent:4\n",
            "Layer  6 Neurons: 64 Max Weight:   0.346 Min Weight:  -0.269 Max Output:  7.334 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.21s 0.04s Parent:5\n",
            "Layer  7 Neurons: 64 Max Weight:   0.215 Min Weight:  -0.224 Max Output:  3.276 Min Output:  0.000 TNNetConvolutionReLU 8,8,64 Times: 6.15s 0.01s Parent:6\n",
            "Layer  8                                                     Max Output:  3.276 Min Output:  0.000 TNNetDropout 8,8,64 Times: 0.03s 0.00s Parent:7\n",
            "Layer  9                                                     Max Output:  3.276 Min Output:  0.000 TNNetMaxPool 4,4,64 Times: 0.35s 0.00s Parent:8\n",
            "Layer 10 Neurons: 10 Max Weight:   0.319 Min Weight:  -0.273 Max Output:  5.777 Min Output: -10.742 TNNetFullConnectLinear 10,1,1 Times: 0.13s 0.00s Parent:9\n",
            "Layer 11                                                     Max Output:  0.608 Min Output:  0.000 TNNetSoftMax 10,1,1 Times: 0.00s 0.00s Parent:10\n",
            "Starting Testing.\n",
            "Epochs: 50 Examples seen:2000000 Test Accuracy: 0.8393 Test Error: 0.4457 Test Loss: 0.4874 Total time: 176.12min\n",
            "Epoch time: 2.3167 minutes. 50 epochs: 1.9306 hours.\n",
            "Epochs: 50. Working time: 2.94 hours.\n",
            "Finished.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gx8P5ODRCC3e"
      },
      "source": [
        "from google.colab import files"
      ],
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aZ4Tp6D6Pqq6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        },
        "outputId": "a76623a4-9f73-4a93-dfb3-f0e76356ac06"
      },
      "source": [
        "files.download('SimpleImageClassifier.nn')"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "error",
          "ename": "FileNotFoundError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-18-4f0eea4e9ac6>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mfiles\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdownload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'SimpleImageClassifier.nn'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/google/colab/files.py\u001b[0m in \u001b[0;36mdownload\u001b[0;34m(filename)\u001b[0m\n\u001b[1;32m    141\u001b[0m       \u001b[0;32mraise\u001b[0m \u001b[0mOSError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    142\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 143\u001b[0;31m       \u001b[0;32mraise\u001b[0m \u001b[0mFileNotFoundError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# pylint: disable=undefined-variable\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    144\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    145\u001b[0m   \u001b[0mcomm_manager\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_IPython\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkernel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcomm_manager\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mFileNotFoundError\u001b[0m: Cannot find file: SimpleImageClassifier.nn"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZnSKco6Ene3u"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zHtuMFPQLsYf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        },
        "outputId": "600bc4f6-aadc-4993-9079-773fe1282fab"
      },
      "source": [
        "files.download('SimpleImageClassifier.csv')"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "error",
          "ename": "FileNotFoundError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-16-dc2343cca3de>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mfiles\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdownload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'SimpleImageClassifier.csv'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/google/colab/files.py\u001b[0m in \u001b[0;36mdownload\u001b[0;34m(filename)\u001b[0m\n\u001b[1;32m    141\u001b[0m       \u001b[0;32mraise\u001b[0m \u001b[0mOSError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    142\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 143\u001b[0;31m       \u001b[0;32mraise\u001b[0m \u001b[0mFileNotFoundError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# pylint: disable=undefined-variable\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    144\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    145\u001b[0m   \u001b[0mcomm_manager\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_IPython\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkernel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcomm_manager\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mFileNotFoundError\u001b[0m: Cannot find file: SimpleImageClassifier.csv"
          ]
        }
      ]
    }
  ]
}