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Deep Learning Hardcover – Nov. 18 2016

4.5 4.5 out of 5 stars 1,971 ratings

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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

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Customer reviews

4.5 out of 5 stars
4.5 out of 5
1,971 global ratings

Top reviews from Canada

Reviewed in Canada 🇨🇦 on May 11, 2018
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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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Reviewed in Canada 🇨🇦 on June 5, 2018
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37 people found this helpful
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Reviewed in Canada 🇨🇦 on February 25, 2017
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12 people found this helpful
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Reviewed in Canada 🇨🇦 on May 17, 2021
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Reviewed in Canada 🇨🇦 on November 5, 2020
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Reviewed in Canada 🇨🇦 on June 30, 2020
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Reviewed in Canada 🇨🇦 on December 19, 2020
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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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