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Yoshua Bengio
Ian Goodfellow
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Deep Learning Hardcover – Nov. 18 2016

by Ian Goodfellow (Author), Yoshua Bengio (Author), Aaron Courville (Author)
4.5 4.5 out of 5 stars 1,971 ratings
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  1. ISBN-10
    0262035618
  2. ISBN-13
    978-0262035613
  3. Publisher
    The MIT Press
  4. Publication date
    Nov. 18 2016
  5. Language
    English
  6. Dimensions
    23.11 x 18.29 x 2.79 cm
  7. Print length
    800 pages
  8. See all details
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Product description

Review

Written by three experts in the field, Deep Learning is the only comprehensive book on the subject. It provides much-needed broad perspective and mathematical preliminaries for software engineers and students entering the field, and serves as a reference for authorities.

(Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX)^

This is the definitive textbook on deep learning. Written by major contributors to the field, it is clear, comprehensive, and authoritative. If you want to know where deep learning came from, what it is good for, and where it is going, read this book.

(Geoffrey Hinton FRS, Emeritus Professor, University of Toronto; Distinguished Research Scientist, Google)^

Deep learning has taken the world of technology by storm since the beginning of the decade. There was a need for a textbook for students, practitioners, and instructors that includes basic concepts, practical aspects, and advanced research topics. This is the first comprehensive textbook on the subject, written by some of the most innovative and prolific researchers in the field. This will be a reference for years to come.

(Yann LeCun, Director of AI Research, Facebook; Silver Professor of Computer Science, Data Science, and Neuroscience, New York University)

Review

Written by three experts in the field, Deep Learning is the only comprehensive book on the subject. It provides much-needed broad perspective and mathematical preliminaries for software engineers and students entering the field, and serves as a reference for authorities.

―Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX

This is the definitive textbook on deep learning. Written by major contributors to the field, it is clear, comprehensive, and authoritative. If you want to know where deep learning came from, what it is good for, and where it is going, read this book.

―Geoffrey Hinton FRS, Emeritus Professor, University of Toronto; Distinguished Research Scientist, Google

Deep learning has taken the world of technology by storm since the beginning of the decade. There was a need for a textbook for students, practitioners, and instructors that includes basic concepts, practical aspects, and advanced research topics. This is the first comprehensive textbook on the subject, written by some of the most innovative and prolific researchers in the field. This will be a reference for years to come.

―Yann LeCun, Director of AI Research, Facebook; Silver Professor of Computer Science, Data Science, and Neuroscience, New York University

Product details

  • Publisher ‏ : ‎ The MIT Press (Nov. 18 2016)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 800 pages
  • ISBN-10 ‏ : ‎ 0262035618
  • ISBN-13 ‏ : ‎ 978-0262035613
  • Item weight ‏ : ‎ 1.15 kg
  • Dimensions ‏ : ‎ 23.11 x 18.29 x 2.79 cm
  • Customer Reviews:
    4.5 4.5 out of 5 stars 1,971 ratings

About the authors

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  1. Yoshua Bengio

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  2. Aaron Courville

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  3. Ian Goodfellow

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    Ian Goodfellow is a research scientist at OpenAI. He has invented a variety of machine learning algorithms including generative adversarial networks. He has contributed to a variety of open source machine learning software, including TensorFlow and Theano.

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Customer reviews

4.5 out of 5 stars
4.5 out of 5
1,971 global ratings
5 star
78%
4 star
10%
3 star
5%
2 star
3%
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5%

Top reviews from Canada

Farzãneh M
5.0 out of 5 stars Complete Refrence of Deep Learning in 800 pages
Reviewed in Canada 🇨🇦 on May 11, 2018
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Farzãneh M
5.0 out of 5 stars Complete Refrence of Deep Learning in 800 pages
Reviewed in Canada 🇨🇦 on May 11, 2018
This book is a dictionary of deep learning. It is complete with the maths and ML that you need. It is easy-to-read and there is no code inside it. For almost 800 pages book that is really well done to put all of the learning stuff in it with a clear and understanding language. I am so happy with my purchase. I recommend this book to everyone that need a complete reference of deep learning.
Plus all , Fast shipping in just 3 days and packed excellent without even a scratch on it. It mentioned that is used like new and it is completely new with less than half price. I suggest to buy books from this seller. Also the book is in colour not W&B.
The quality of papers is a little poor but it is acceptable for me with such an amazing price.
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One person found this helpful
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Alexei Akimov
3.0 out of 5 stars The book was "written by a robot".
Reviewed in Canada 🇨🇦 on June 5, 2018
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37 people found this helpful
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Claude COULOMBE
5.0 out of 5 stars The GBC (Goodfellow, Bengio and Courville) book is worth the reading!
Reviewed in Canada 🇨🇦 on February 25, 2017
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12 people found this helpful
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Mehrnaz
5.0 out of 5 stars Very good
Reviewed in Canada 🇨🇦 on May 17, 2021
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sima soltani
3.0 out of 5 stars For sure a fake print.
Reviewed in Canada 🇨🇦 on November 5, 2020
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One person found this helpful
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Knox
5.0 out of 5 stars Definitive book on deep learning
Reviewed in Canada 🇨🇦 on June 30, 2020
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av1423
5.0 out of 5 stars Quality and fast shipping
Reviewed in Canada 🇨🇦 on December 19, 2020
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Mesana Patrick
5.0 out of 5 stars Compare to many other machine learning books, this one is meant to be read
Reviewed in Canada 🇨🇦 on August 8, 2017
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4 people found this helpful
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Top reviews from other countries

A. M. Douglas
5.0 out of 5 stars Theoretical ML by leading practitioners.
Reviewed in the United Kingdom 🇬🇧 on July 18, 2020
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5 people found this helpful
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Simon
1.0 out of 5 stars Wrong Pages!!
Reviewed in the United Kingdom 🇬🇧 on August 8, 2018
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Simon
1.0 out of 5 stars Wrong Pages!!
Reviewed in the United Kingdom 🇬🇧 on August 8, 2018
Very disappointing. After one month, just recognize that p171-p378 are missing, the pages are repetition of p379-p586. It does not have a refund option!
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26 people found this helpful
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Chinedu Pascal Ezenkwu
4.0 out of 5 stars Great book for deep learning practioners who seek to go beyond applications
Reviewed in the United Kingdom 🇬🇧 on April 4, 2020
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2 people found this helpful
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Kindle Customer
5.0 out of 5 stars Good Book
Reviewed in the United Kingdom 🇬🇧 on January 5, 2021
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James
2.0 out of 5 stars Great content for practitioners but poor physical quality
Reviewed in the United Kingdom 🇬🇧 on July 14, 2018
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6 people found this helpful
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