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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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Diederik P. Kingma
Max Welling
Foundations and Trends® in Machine Learning
University of Amsterdam
Google (United States)
Qualcomm (United States)
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Kingma et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69c414b4b78463c71097f558 — DOI: https://doi.org/10.1561/2200000056