[CITATION][C] An introduction to variational autoencoders
An Introduction to Variational Autoencoders Page 1 An Introduction to Variational Autoencoders
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Page 2 Other titles in Foundations and Trends R in Machine Learning Computational Optimal
Transport Gabriel Peyre and Marco Cuturi ISBN: 978-1-68083-550-2 An Introduction to Deep
Reinforcement Learning Vincent Francois-Lavet, Peter Henderson, Riashat Islam, Marc G.
Bellemare and Joelle Pineau ISBN: 978-1-68083-538-0 An Introduction to Wishart Matrix
Moments Adrian N. Bishop, Pierre Del Moral and Angele Niclas ISBN: 978-1-68083-506-9 A …
Abstract
Variational autoencoders provide a principled framework for learning deep latent-variable models and corresponding inference models. In this work, we provide an introduction to variational autoencoders and some important extensions.
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