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Deep Learning by Yoshua Bengio,Ian Goodfellow, A Courville,ISBN
US $33.93
ApproximatelyC $47.10
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- Buy It NowDeep Learning by Yoshua Bengio,Ian Goodfellow, A Courville,ISBN:9780262035613NEW
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eBay item number:305339859618
Item specifics
- Condition
- Educational Level
- Adult & Further Education
- Level
- Advanced
- Features
- HARD COVER
- Country/Region of Manufacture
- United States
- ISBN
- 9780262035613
About this product
Product Identifiers
Publisher
MIT Press
ISBN-10
0262035618
ISBN-13
9780262035613
eBay Product ID (ePID)
228981524
Product Key Features
Number of Pages
800 Pages
Publication Name
Deep Learning
Language
English
Publication Year
2016
Subject
Intelligence (Ai) & Semantics, Computer Science
Type
Textbook
Subject Area
Computers
Series
Adaptive Computation and Machine Learning Ser.
Format
Hardcover
Dimensions
Item Height
1.3 in
Item Weight
45.5 Oz
Item Length
9.3 in
Item Width
7.3 in
Additional Product Features
Intended Audience
Trade
LCCN
2016-022992
Reviews
[T]he AI bible... the text should be mandatory reading by all data scientists and machine learning practitioners to get a proper foothold in this rapidly growing area of next-gen technology., [T]he AI bible... the text should be mandatory reading by all data scientists and machine learning practitioners to get a proper foothold in this rapidly growing area of next-gen technology.-- Daniel D. Gutierrez , insideBIGDATA --
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.3/1
Synopsis
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. "Written by three experts in the field, Deep Learning is the only comprehensive book on the subject." -Elon Musk , cochair of OpenAI; cofounder and CEO of Tesla and SpaceX 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., An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. "Written by three experts in the field, Deep Learning is the only comprehensive book on the subject." --Elon Musk , cochair of OpenAI; cofounder and CEO of Tesla and SpaceX 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.
LC Classification Number
Q325.5.G66 2017
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- n***t (792)- Feedback left by buyer.Past yearVerified purchaseas described. ultra quick shipment.
- v***a (1)- Feedback left by buyer.Past 6 monthsVerified purchaseThe package arrived in 3 days, in excellent condition! The book was packed very thoroughly, with a few layers of protection, awesome quality. The book itself is new, appearance is great, and the price is half of that of the same book in other places. Overall, I'm extremely pleased with the purchase and the seller of course! Very happy with the seller too, sent the package immediately. I recommend the seller and will buy from him again for sure!
- t***s (3)- Feedback left by buyer.Past 6 monthsVerified purchaseSuper fast expedition, good tracking of delivery progression & status, book is in mint condition in robust packaging. Great value for money, quality service I would reorder and recommend anytime this seller. Thanks wishing a very succesfull 2025!Designing Data-Intensive Applications: The Big Ideas Behind Reliable- NEW (#305250912048)
- y***i (9)- Feedback left by buyer.Past 6 monthsVerified purchaseExactly what I ordered and recieved when they said I would get it. Had an issue with the mailing address, they fixed it right away and there was no delays. Very happy with the seller and the product i bought. Thank you.
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Most relevant reviews
- Apr 01, 2020
Sound book.
Verified purchase: YesCondition: NewSold by: missyr70
- Apr 18, 2021
A heavy but interesting read! Must have for all DL aspirants!
Verified purchase: YesCondition: New
- Dec 01, 2023
Good, QC issues
Verified purchase: YesCondition: NewSold by: smileshop_3
- Jun 18, 2018
Lovely
Verified purchase: YesCondition: NewSold by: textbooks_xpress
- Nov 12, 2019
excellent
Verified purchase: YesCondition: NewSold by: expres_94
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This item (1)
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- n***t (792)- Feedback left by buyer.Past yearVerified purchaseas described. ultra quick shipment.
- v***a (1)- Feedback left by buyer.Past 6 monthsVerified purchaseThe package arrived in 3 days, in excellent condition! The book was packed very thoroughly, with a few layers of protection, awesome quality. The book itself is new, appearance is great, and the price is half of that of the same book in other places. Overall, I'm extremely pleased with the purchase and the seller of course! Very happy with the seller too, sent the package immediately. I recommend the seller and will buy from him again for sure!
- t***s (3)- Feedback left by buyer.Past 6 monthsVerified purchaseSuper fast expedition, good tracking of delivery progression & status, book is in mint condition in robust packaging. Great value for money, quality service I would reorder and recommend anytime this seller. Thanks wishing a very succesfull 2025!Designing Data-Intensive Applications: The Big Ideas Behind Reliable- NEW (#305250912048)
- y***i (9)- Feedback left by buyer.Past 6 monthsVerified purchaseExactly what I ordered and recieved when they said I would get it. Had an issue with the mailing address, they fixed it right away and there was no delays. Very happy with the seller and the product i bought. Thank you.