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Variational Methods For Machine Learning With Applications To Deep Networks

by Eduardo Antonio Barros Da Silva, Sergio Lima Netto, Matheus Araujo Marins e Lucas Pinheiro Cinelli
language: english
Publisher: Springer Nature Switzerland AG, May of 2021 ‧
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This book provides a straightforward look at the concepts, algorithms and advantages of Bayesian Deep Learning and Deep Generative Models.

Variational Methods For Machine Learning With Applications To Deep Networks

by Eduardo Antonio Barros Da Silva, Sergio Lima Netto, Matheus Araujo Marins e Lucas Pinheiro Cinelli

Property Description
ISBN: 9783030706784
Publisher: Springer Nature Switzerland AG
Release Date: May of 2021
Language: English
Dimensions: 155 x 235 x 20 mm
Cover: Hardcover
Pages: 165
Format: Book
Categories: Books in English > Others
EAN: 9783030706784