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Deep Learning by Yoshua Bengio,Ian Goodfellow, A Courville,ISBN
US $33.93
ApproximatelyS$ 43.67
Condition:
Brand New
A new, unread, unused book in perfect condition with no missing or damaged pages.
2 available7 sold
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eBay item number:305339859618
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- 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
Subject
Intelligence (Ai) & Semantics, Computer Science
Publication Year
2016
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
Dewey Edition
23
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 --
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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- 1***r (240)- Feedback left by buyer.Past monthVerified purchaseSpedizione molto veloce, il venditore è molto cortese e puntuale nelle risposte. Un piccolo consiglio, indicate meglio che c'è la dogana da pagare.
- z***_ (11)- Feedback left by buyer.Past monthVerified purchaseVery good quality & very good price. Thank you very much!
- z***_ (11)- Feedback left by buyer.Past monthVerified purchaseBook in very good condition, price is comparably cheap, very speedy shipping! I would highly recommend this seller.
- 1***r (240)- Feedback left by buyer.Past monthVerified purchaseSpedizione molto veloce, il venditore è molto cortese e puntuale nelle risposte. Un piccolo consiglio, indicate meglio che c'è la dogana da pagare.
- o***r (316)- Feedback left by buyer.Past monthVerified purchaseVery reasonably prices and book arrived extremely well packaged and in mint condition!
- v***2 (1)- Feedback left by buyer.Past monthVerified purchaseCommunicated well and shipped on time
Seller feedback (511)
This item (4)
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- 1***r (240)- Feedback left by buyer.Past monthVerified purchaseSpedizione molto veloce, il venditore è molto cortese e puntuale nelle risposte. Un piccolo consiglio, indicate meglio che c'è la dogana da pagare.
- z***_ (11)- Feedback left by buyer.Past monthVerified purchaseVery good quality & very good price. Thank you very much!
- z***_ (11)- Feedback left by buyer.Past monthVerified purchaseBook in very good condition, price is comparably cheap, very speedy shipping! I would highly recommend this seller.
- 1***r (240)- Feedback left by buyer.Past monthVerified purchaseSpedizione molto veloce, il venditore è molto cortese e puntuale nelle risposte. Un piccolo consiglio, indicate meglio che c'è la dogana da pagare.
- o***r (316)- Feedback left by buyer.Past monthVerified purchaseVery reasonably prices and book arrived extremely well packaged and in mint condition!
- v***2 (1)- Feedback left by buyer.Past monthVerified purchaseCommunicated well and shipped on time