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Convolutional Variational Autoencoders in Tensorflow - DLMC28

Today we will learn how to train a Variational Autoencoder (VAE) (1, 2). on the MNIST dataset. A VAE is a probabilistic take on the autoencoder, a model that takes high dimensional input data to compress it into a smaller representation.

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Today we will learn how to train a Variational Autoencoder (VAE) (1, 2). on the MNIST dataset. A VAE is a probabilistic take on the autoencoder, a model that takes high dimensional input data to compress it into a smaller representation. 

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