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Deep learning /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.3/1
書名/作者:	Deep learning // Ian Goodfellow, Yoshua Bengio and Aaron Courville.
作者:	Goodfellow, Ian.
其他作者:	Bengio, Yoshua.
出版者:	Cambridge, Mass. : : MIT Press,, c2016.
面頁冊數:	xxii, 775 p. : : ill. (some col.) ;; 24 cm.
標題:	Machine learning.
ISBN:	9780262035613 (hbk.) :
書目註:	Includes bibliographical references (p. [711]-766) and index.
內容註:	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.

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.

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 (hbk.) :NTD 2,440

LCCN: 2016022992Subjects--Topical Terms:

202931
Machine learning.

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

Dewey Class. No.: 006.3/1

Deep learning /
LDR:01308cam a2200193 a 4500 001 473736
005 20170712122620.0
008 180523s2016 maua b 001 0 eng
010 $a 2016022992
020 $a 9780262035613 (hbk.) : $c NTD 2,440
040 $a DLC $b eng $c DLC $d DLC $d DYU
041 0 $a 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 683072
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 0 $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 $a Machine learning. $3 202931
700 1 $a Bengio, Yoshua. $3 683073
700 1 $a Courville, Aaron. $3 683074

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