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Variational autoencoder

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Revision as of 16:15, 19 November 2022 by MathXplore (talk | changes) (Added {{tech-stub}} tag to article (TW))

In machine learning, a variational autoencoder (VAE), is an artificial neural network architecture. It was introduced by Diederik P. Kingma and Max Welling.