000			02467nam a22002177a 4500
008			231011b ||||| |||| 00| 0 eng d
020			_a9780262035613 (hbk.)
041			_aEnglish
082			_a006.31 GOO
100			_aGoodfellow, Ian
245			_aDeep learning / _cIan Goodfellow; Yoshua Bengio; Aaron Courville
260			_aCambridge, Massachusetts : _bThe MIT Press, _c2016.
300			_axxii, 775 p. : _bill. (some color) ; _c24 cm.
440			_aAdaptive computation and machine learning.
500			_aSummary:"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 video games. 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"-- Page 4 of cover
505			_awww.deeplearningbook.org
650			_aArtificial intelligence. _aComputer science. _aComputers and IT. _aMachine Learning.
700			_aBengio, Yoshua -- author
700			_aCourville, Aaron -- author
942			_c1
999			_c15447 _d15447