An edition of Deep Learning (2016)

Deep Learning

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  • 3.7 (3 ratings)
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Last edited by MARC Bot
May 18, 2025 | History
An edition of Deep Learning (2016)

Deep Learning

  • 3.7 (3 ratings)
  • 90 Want to read
  • 10 Currently reading
  • 3 Have read

"Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors"--

Publish Date
Publisher
MIT Press
Language
English
Pages
775

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Previews available in: English

Edition Availability
Cover of: Deep Learning
Deep Learning
2017, MIT Press
in English
Cover of: Deep Learning
Deep Learning
3 January 2017, MIT Press
Hardcover
Cover of: Deep Learning
Deep Learning
2016, MIT Press
in English
Cover of: Deep Learning
Deep Learning
2016, MIT Press
in English
Cover of: Deep Learning
Deep Learning
2016, deeplearningbook.org
Web Book in English

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Book Details


Classifications

Library of Congress
Q325.5 .G66 2016, Q325.5.G66

Edition Identifiers

Open Library
OL26391361M
ISBN 13
9780262035613
LCCN
2016022992
OCLC/WorldCat
955778308, 1183962587

Work Identifiers

Work ID
OL17801809W

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
May 18, 2025 Edited by MARC Bot import existing book
December 19, 2022 Edited by MARC Bot import existing book
December 16, 2022 Edited by MARC Bot import existing book
October 28, 2022 Edited by ImportBot import existing book
October 28, 2017 Created by jfwhitmore Added new book.