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Merged
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Nov 11, 2021
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[pull] master from altosaar:master #7

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8 changes: 7 additions & 1 deletion README.md
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Expand Up @@ -62,4 +62,10 @@ Step 29999 Test ELBO estimate: -106.803 Test log p(x) estimate: -97.620
Total time: 2.350 minutes
```

(The difference between a mean field and inverse autoregressive flow may be due to several factors, chief being the lack of convolutions in the implementation. Residual blocks are used in https://arxiv.org/pdf/1606.04934.pdf to get the ELBO closer to -80 nats.)
(The difference between a mean field and inverse autoregressive flow may be due to several factors, chief being the lack of convolutions in the implementation. Residual blocks are used in https://arxiv.org/pdf/1606.04934.pdf to get the ELBO closer to -80 nats.)

# Generating the GIFs

1. Run `python train_variational_autoencoder_tensorflow.py`
2. Install imagemagick (homebrew for Mac: https://formulae.brew.sh/formula/imagemagick or Chocolatey in Windows: https://community.chocolatey.org/packages/imagemagick.app)
3. Go to the directory where the jpg files are saved, and run the imagemagick command to generate the .gif: `convert -delay 20 -loop 0 *.jpg latent-space.gif`