Variational autoencoder
deep learning generative model to encode data representation
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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- ↑ Kingma, Diederik P.; Welling, Max (2022-12-10). "Auto-Encoding Variational Bayes". arXiv:1312.6114 [cs, stat].
