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Variational Auto-Encoder for MNIST

An implementation of Variational Autoencoder as introduced in Auto-Encoding Variational Bayes by Kingma et.al.

Input image Reconstructed image Generated image

The results can be reproduced by running the following command:

python3 vae_elbo/run_vae_model.py

Requirements

python 3.4.3
tensorflow 1.1.0
prettytensor 0.7.4

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Variational Autoencoder implementation in tensorflow using prettytensor.

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