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TF Implementation of Convolutional Variational Autoencoder.

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Convolutional Variational Autoencoder

This repository contains a convolutional implementation of the described in Auto-Encoding Variational Bayes. The implemented model uses the MNIST dataset for classification in addition to the ADAM optimizer, batch normalization, weight decay, and ReLU non-linearities.

Dependencies

  • Python 3.5 or greater
  • Tensorflow 0.12.0 or greater

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  • Jupyter Notebook 78.0%
  • Python 22.0%