Deep Learning Adaptive Computation and Machine Learning series
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Deep Learning Adaptive Computation and Machine Learning series
Deep Learning Adaptive Computation and Machine Learning series
物品 #: 113167464

Deep Learning Adaptive Computation and Machine Learning series

物品 #: 113167464

HKD 1067

HKD 1138

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產品詳情

Shop Deep Learning Adaptive Computation and Machine Learning series online at a best price in 香港. 0262035618
  • 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 SpaceXDeep 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.
Publisher The MIT Press
Publication date November 18, 2016
Language English
Print length 800 pages
ISBN-10 0262035618
ISBN-13 978-0262035613
Item Weight 1.33 Kilograms
Reading age 18 years and up
Dimensions 9.1 x 7.2 x 1.1 inches (23.1 x 18.3 x 2.8 cm)

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Deep Learning Adaptive Computation and Machine Learning series

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English Edition Ian Goodfellow , Yoshua Bengio Human Vision & Language Systems Editorial Review

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HKD 1067

HKD 1138

現在訂購，約可在下列時間收貨： 星期五, 十一月 06

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