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Deep Learning (Adaptive Computation and Machine Learning series) book cover by Ian Goodfellow, Yoshua Bengio, Aaron Courville
Hardcover

Deep Learning (Adaptive Computation and Machine Learning series)

by Ian Goodfellow, Yoshua Bengio and Aaron Courville

$62.00 / copy at 25+ copies As low as $50.00 at 1,000+Your best volume price

Hardcover · 800 pages MIT Press · 2016

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About the book

Deep Learning (Adaptive Computation and Machine Learning series)

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.



The book, Deep Learning (Adaptive Computation and Machine Learning series) [Bulk, Wholesale, Quantity] ISBN#9780262035613 in Hardcover by Ian Goodfellow, Yoshua Bengio, Aaron Courville may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Publisher
MIT Press
Authors
Ian Goodfellow, Yoshua Bengio, Aaron Courville
Format
Hardcover
Published
Nov 18, 2016
ISBN-13
9780262035613
ISBN-10
0262035618
Pages
800
Carton quantity
10 copies
Buying for a group

Deep Learning (Adaptive Computation and Machine Learning series) in bulk: pricing

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CopiesPrice per copyYou save
25 – 99 $62.00 38% off list
100 – 249 $58.00 42% off list
250 – 499 $54.00 46% off list
500 – 999 $52.00 48% off list
1,000+ $50.00 50% off list
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