Variational autoencoder

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Notion

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Science and technology

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What Wikipedia says

In machine learning, a variational autoencoder (VAE) is an artificial neural network architecture introduced by Diederik P. Kingma and Max Welling in 2013. It is part of the families of probabilistic graphical models and variational Bayesian methods.

Excerpt from the Wikipedia article “Variational autoencoder”, under the CC BY-SA 4.0 license. Read the article on Wikipedia

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