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variational-autoencoder

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# Variational-autoencoder
A tensorflow implementation of a variational autoencoder.

## Requirements:
1. tensorflow v1.13.1
2. PIL
3. matplotlib
4. IPython.display (for tensorboard visualization in a jupyter notebook)
5. OpenCV (for face cropping)

## Usage:
Run the enclosed `vae_mnist.ipynb` notebook in a tensorflow environment.

## Tensorflow graph:

From the enclosed `vae_mnist.ipynb` notebook, you can run tensorboard to see the entire computational graph.

A look at the entire tensorflow graph:&nbsp;

![tensorflow graph](https://raw.githubusercontent.com/compthree/variational-autoencoder/master/other/images/tensorflow_graph.png)

A look at the variational autoencoder graph:&nbsp;

![variational autoencoder graph](https://raw.githubusercontent.com/compthree/variational-autoencoder/master/other/images/variational_autoencoder.png)

A look at the encoder graph (three-layer fully-connected):&nbsp;

![encoder graph](https://raw.githubusercontent.com/compthree/variational-autoencoder/master/other/images/encoder.png)

A look at the decoder graph (three-layer fully-connected):&nbsp;

![decoder graph](https://raw.githubusercontent.com/compthree/variational-autoencoder/master/other/images/decoder.png)

variational-autoencoder

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