Update README.md

Author: Jaan Altosaar

README.md

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 # Variational Autoencoder / Deep Latent Gaussian Model in tensorflow and pytorch
 Reference implementation for a variational autoencoder in TensorFlow and PyTorch.
 
-I recommend the PyTorch version. It includes an example of a more expressive variational family (the [inverse autoregressive flow](https://arxiv.org/abs/1606.04934).
+I recommend the PyTorch version. It includes an example of a more expressive variational family, the [inverse autoregressive flow](https://arxiv.org/abs/1606.04934).
 
 Variational inference is used to fit the model to binarized MNIST handwritten digits images. An inference network (encoder) is used to amortize the inference and share parameters across datapoints. The likelihood is parameterized by a generative network (decoder).