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An Introduction to Variational Autoencoders
Diederik P. Kingmaa b, Max Wellingc d e
- aGoogle
- bGoogle, USA
- cQualcomm
- dUniversity of Amsterdam
- eUniversity of Amsterdam, The Netherlands, and Qualcomm, USA
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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.
TL;DRThis work provides an introduction to variational autoencoders and some important extensions, which provide a principled framework for learning deep latent-variable models and corresponding inference models. (Semantic Scholar)