Variational autoencoder

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In machine learning, a variational autoencoder (VAE), is an artificial neural network architecture. It was introduced by Diederik P. Kingma and Max Welling.[1]

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References[change | change source]

  1. ↑ Kingma, Diederik P.; Welling, Max (2022-12-10). "Auto-Encoding Variational Bayes". arXiv:1312.6114 [cs, stat].


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