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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 (hard) :

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. Linear algebra -- Probability and information theory -- Numerical computation -- Machine learning basics -- Deep networks: modern practices. Deep feedforward networks -- Regularization for deep learning -- Optimization for training deep models -- Convolutional networks -- Sequence modeling: recurrent and recursive nets -- Practical methodology -- Applications -- Deep learning research. Linear factor models -- Autoencoders -- Representation learning -- Structured probabilistic models for deep learning -- Monte Carlo methods -- Confronting the partition function -- Approximate inference -- Deep generative models.

ISBN: 9780262035613 (hard) :NT2416

LCCN: 2016022992Subjects--Topical Terms:

248498
Machine learning.

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

Dewey Class. No.: 006.3/1

Deep learning /
LDR:01388cam 2200229 a 4500 001 323850
005 20200210152102.0
008 200215s2016 maua b 001 0 eng
010 $a 2016022992
020 $a 9780262035613 (hard) : $c NT2416
020 $a 0262035618 (hard)
035 $a 00380253
040 $a KMU $d KMU
042 $a pcc
050 0 0 $a Q325.5 $b .G66 2016
082 0 0 $a 006.3/1 $2 23
087 $a 312.9831 $b G651 2016
100 1 $a Goodfellow, Ian. $3 447718
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 $a Applied math and machine learning basics. Linear algebra -- Probability and information theory -- Numerical computation -- Machine learning basics -- Deep networks: modern practices. Deep feedforward networks -- Regularization for deep learning -- Optimization for training deep models -- Convolutional networks -- Sequence modeling: recurrent and recursive nets -- Practical methodology -- Applications -- Deep learning research. Linear factor models -- Autoencoders -- Representation learning -- Structured probabilistic models for deep learning -- Monte Carlo methods -- Confronting the partition function -- Approximate inference -- Deep generative models.
650 0 $2 96060 $a Machine learning. $3 248498
700 1 $a Bengio, Yoshua. $3 447719
700 1 $a Courville, Aaron. $3 447720
830 0 $a Adaptive computation and machine learning. $3 447721