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deep-learning-project

The directory core contains vae.py, which contains the basic variational auto-encoder with both the encoder network and the decoder network as inputs.

The directory networks contains simple_fc.py: Both the encoder and the decoder are fully connected networks. ops.py: It contains some layers to be used by networks.

The directory notebook contains all jupyter notebook files that demonstrate the experiments.

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