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Deep Learning by Ian Goodfellow: New
US $74,63
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Oggetto che si trova a: Sparks, Nevada, Stati Uniti
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Numero oggetto eBay:282819303478
Specifiche dell'oggetto
- Condizione
- Book Title
- Deep Learning
- Publication Date
- 2016-11-18
- Pages
- 800
- ISBN
- 0262035618
Informazioni su questo prodotto
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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- _***s (6)- Feedback lasciato dall'acquirente.Mese scorsoAcquisto verificatoWhen I'd originally placed this order, I had accidentally put in the wrong shipping address. However, the seller was more than helpful, and the CD arrived!! The packaging was wide open when it arrived, but luckily nothing was damaged. Additionally, there was nothing protective on the CD, so that open package made me feel kind of nervous. Otherwise, absolutely great! The customer service was awesome, and the product was as described.
- r***w (226)- Feedback lasciato dall'acquirente.Ultimi 6 mesiAcquisto verificatoItem was lost in delivery- but after some communication, seller was understanding and provided a refund. I ordered another and had it sent elsewhere. My main issue was that it felt as if I was getting automated responses at first!! Please have humans review human inquiries!! It was painstaking explaining the situation to an A.I. who only repeats unhelpful replies. Thanks again!! Otherwise. Great price! Great seller!
- a***a (346)- Feedback lasciato dall'acquirente.Ultimi 6 mesiAcquisto verificatoThis hardback book is of the highest quality, has a fine appearance , arrived in perfect condition, and is an excellent value. On what I was not asked about this time, communicating with the seller would have required using email outside of the eBay system, because they do not accept eBay messages, the book was well packed in a purpose-designed cardboard box, the shipping was faster than I expected for the bound media rate, and the book was exactly as described and pictured.Tameshigiri - The History and Development of Japanese Sword Testing by Sesko (N° 282906424466)
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AlibrisBooks
98,5% di Feedback positivi•1,9 milioni oggetti venduti
Registrato come venditore professionale
Feedback sul venditore (506.642)
- _***s (6)- Feedback lasciato dall'acquirente.Mese scorsoAcquisto verificatoWhen I'd originally placed this order, I had accidentally put in the wrong shipping address. However, the seller was more than helpful, and the CD arrived!! The packaging was wide open when it arrived, but luckily nothing was damaged. Additionally, there was nothing protective on the CD, so that open package made me feel kind of nervous. Otherwise, absolutely great! The customer service was awesome, and the product was as described.
- r***w (226)- Feedback lasciato dall'acquirente.Ultimi 6 mesiAcquisto verificatoItem was lost in delivery- but after some communication, seller was understanding and provided a refund. I ordered another and had it sent elsewhere. My main issue was that it felt as if I was getting automated responses at first!! Please have humans review human inquiries!! It was painstaking explaining the situation to an A.I. who only repeats unhelpful replies. Thanks again!! Otherwise. Great price! Great seller!
- a***a (346)- Feedback lasciato dall'acquirente.Ultimi 6 mesiAcquisto verificatoThis hardback book is of the highest quality, has a fine appearance , arrived in perfect condition, and is an excellent value. On what I was not asked about this time, communicating with the seller would have required using email outside of the eBay system, because they do not accept eBay messages, the book was well packed in a purpose-designed cardboard box, the shipping was faster than I expected for the bound media rate, and the book was exactly as described and pictured.Tameshigiri - The History and Development of Japanese Sword Testing by Sesko (N° 282906424466)