Dynamical Variational Autoencoders: A Comprehensive Review - Foundations and Trends® in Machine Learning - Laurent Girin - Books - now publishers Inc - 9781680839128 - December 2, 2021
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Dynamical Variational Autoencoders: A Comprehensive Review - Foundations and Trends® in Machine Learning

Laurent Girin

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Dynamical Variational Autoencoders: A Comprehensive Review - Foundations and Trends® in Machine Learning

Variational autoencoders are powerful deep generative models widely used to represent high-dimensional complex data through a low-dimensional latent space learned in an unsupervised manner. In this volume, the authors introduce and discuss a general class of models, called dynamical variational autoencoders.

198 pages

Media Books     Paperback Book   (Book with soft cover and glued back)
Released December 2, 2021
ISBN13 9781680839128
Publishers now publishers Inc
Pages 198
Dimensions 156 × 234 × 10 mm   ·   286 g
Language English  

See all of Laurent Girin ( e.g. Paperback Book )