An Introduction to Variational Autoencoders - Foundations and Trends (R) in Machine Learning - Diederik P. Kingma - Books - now publishers Inc - 9781680836226 - November 28, 2019
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Diederik P. Kingma
An Introduction to Variational Autoencoders - Foundations and Trends (R) in Machine Learning

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Presents an introduction to the framework of variational autoencoders (VAEs) that provides a principled method for jointly learning deep latent-variable models and corresponding inference models using stochastic gradient descent.

102 pages

Media Books     Paperback Book   (Book with soft cover and glued back)
Released November 28, 2019
ISBN13 9781680836226
Publishers now publishers Inc
Pages 102
Dimensions 235 × 155 × 10 mm   ·   154 g
Language English  

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