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Variational Methods for Machine Learning with Applications to Deep Networks

Variational Methods for Machine Learning with Applications to Deep Networks - 9783030706784

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Product Details
By (Author):
Lucas Pinheiro Cinelli, Matheus Araujo Marins, Eduardo Antonio Barros da Silva, Sergio Lima Netto
Publisher:
Springer Nature Switzerland AG
Publication Date:
May 11, 2021
Country of Publication:
Switzerland
Language:
Unknown
Number of pages:
165 pages
Binding:
Hardback
ISBN-10:
3030706788
ISBN-13:
9783030706784

Overview

This book provides a straightforward look at the concepts, algorithms and advantages of Bayesian Deep Learning and Deep Generative Models.


  • | : Lucas Pinheiro Cinelli, Matheus Araujo Marins, Eduardo Antonio Barros da Silva, Sergio Lima Netto
  • | Publisher: Springer Nature Switzerland AG
  • | Publication Date: May 11, 2021
  • | Country of Publication: Switzerland
  • | Number of Pages: 165 pages
  • | Language: Unknown
  • | Binding: Hardback
  • | ISBN-10: 3030706788
  • | ISBN-13: 9783030706784

Categories

Books/Communications Engineering/Telecommunications

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