Lucas Pinheiro Cinelli,Matheus Araujo Marins,Eduardo Antonio Barros da Silva,Sergio Lima Netto
Variational Methods for Machine Learning with Applications to Deep Networks
Variational Methods for Machine Learning with Applications to Deep Networks
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- More about Variational Methods for Machine Learning with Applications to Deep Networks
Format: Paperback / softback
Length: 165 pages
Publication date: 12 May 2022
Publisher: Springer Nature Switzerland AG
This book provides a straightforward look at the concepts, algorithms and advantages of Bayesian Deep Learning and Deep Generative Models.
Dimension: 235 x 155 (mm)
ISBN-13: 9783030706814
Edition number: 2021 ed.
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