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Deep learning /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Deep learning // Ian Goodfellow, Yoshua Bengio and Aaron Courville.
Author:	Goodfellow, Ian.
other author:	Bengio, Yoshua.
Published:	Cambridge, Mass. :MIT Press, : c2016.,
Description:	xxii, 775 p. :ill. (some col.) ;24 cm.
Subject:	Machine learning, -
ISBN:	9780262035613

Deep learning /
Goodfellow, Ian.

Deep learning /Ian Goodfellow, Yoshua Bengio and Aaron Courville. - Cambridge, Mass. :MIT Press,c2016. - xxii, 775 p. :ill. (some col.) ;24 cm. - Adaptive computation and machine learning. - Adaptive computation and machine learning..

Includes bibliographical references (p. [711]-766) and index.

Applied math and machine learning basics --

ISBN: 9780262035613NT1650

LCCN: 2016022992Subjects--Topical Terms:

3272056
Machine learning,

LC Class. No.: Q325.5 / .G66 2016

Dewey Class. No.: 006.3/1

Deep learning /
LDR:01271cam a2200193 a 4500 001 2109478
003 DLC
005 20170712122620.0
008 180522s2016 maua b 001 0 eng
010 $a 2016022992
020 $a 9780262035613 $q (hbk.) : $c NT1650
040 $a DLC $b eng
050 0 0 $a Q325.5 $b .G66 2016
082 0 0 $a 006.3/1 $2 23
100 1 $a Goodfellow, Ian. $3 3272053
245 1 0 $a Deep learning / $c Ian Goodfellow, Yoshua Bengio and Aaron Courville.
260 # $a Cambridge, Mass. : $b MIT Press, $c c2016.
300 $a xxii, 775 p. : $b ill. (some col.) ; $c 24 cm.
490 1 $a Adaptive computation and machine learning
504 $a Includes bibliographical references (p. [711]-766) and index.
505 0 # $t Applied math and machine learning basics -- $t Linear algebra -- $t Probability and information theory -- $t Numerical computation -- $t Machine learning basics -- $t Deep feedforward networks -- $t Regularization for deep learning -- $t Optimization for training deep models -- $t Convolutional networks -- $t Sequence modeling : recurrent and recursive nets -- $t Practical methodology -- $t Applications -- $t Linear factor models -- $t Autoencoders -- $t Representation learning -- $t Structured probabilistic models for deep learning -- $t Monte Carlo methods -- $t Confronting the partition function -- $t Approximate inference -- $t Deep generative models.
650 # 0 $a Machine learning, $3 3272056
700 1 # $a Bengio, Yoshua. $3 3272054
700 1 # $a Courville, Aaron. $3 3272055
830 0 $a Adaptive computation and machine learning. $3 1047988