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VAE: experiments

Before diving into GANN's I would like to perform some experiments where I change the variational deconvolutional network hyperparameters: epsilon, latent dimension size, number of convolutions and deconvolutions and kernel sizes. After this issue I will make some experiments slowly encoding the images to lower resolutions, and reconstructing it by steps with greater resolutions.

VAE first experiment

Using a modified version of the Variational Autoencoder with Deconvolutional layers implemented here.

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