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Variational Methods for Machine Learning with Applications to Deep Networks
Language: en
Pages: 173
Authors: Lucas Pinheiro Cinelli
Categories: Technology & Engineering
Type: BOOK - Published: 2021-05-10 - Publisher: Springer Nature

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This book provides a straightforward look at the concepts, algorithms and advantages of Bayesian Deep Learning and Deep Generative Models. Starting from the mod
Variational Methods for Machine Learning with Applications to Deep Networks
Language: en
Pages: 0
Authors: Lucas Pinheiro Cinelli
Categories:
Type: BOOK - Published: 2021 - Publisher:

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This book provides a straightforward look at the concepts, algorithms and advantages of Bayesian Deep Learning and Deep Generative Models. Starting from the mod
An Introduction to Variational Autoencoders
Language: en
Pages: 102
Authors: Diederik P. Kingma
Categories: Computers
Type: BOOK - Published: 2019-11-12 - Publisher:

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An Introduction to Variational Autoencoders provides a quick summary for the of a topic that has become an important tool in modern-day deep learning techniques
Variational Bayesian Learning Theory
Language: en
Pages: 561
Authors: Shinichi Nakajima
Categories: Computers
Type: BOOK - Published: 2019-07-11 - Publisher: Cambridge University Press

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This introduction to the theory of variational Bayesian learning summarizes recent developments and suggests practical applications.
Advanced Deep Learning with Keras
Language: en
Pages: 369
Authors: Rowel Atienza
Categories: Computers
Type: BOOK - Published: 2018-10-31 - Publisher: Packt Publishing Ltd

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Understanding and coding advanced deep learning algorithms with the most intuitive deep learning library in existence Key Features Explore the most advanced dee
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