000			02233 a2200217 4500
003			OSt
005			20230822100914.0
008			230802b |||||||| |||| 00| 0 eng d
020			_a9780262035613
040			_aICTS-TIFR
050			_aQ325.5 .G66
100			_aGoodfellow, Ian
245			_aDeep learning
260			_bThe MIT Press, _aCambridge, Massachusetts: _cc2016
300			_a775 p.
520			_aDeep 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.
700			_aBengio, Yoshua
700			_aCourville, Aaron
856			_uhttps://www.deeplearningbook.org/
942			_2lcc _cBK
999			_c32923 _d32923