Deep learning

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 -- Convolution...

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Détails bibliographiques
Auteur principal:	Goodfellow, Ian
Autres auteurs:	Bengio, Yoshua
Format:	Livre
Langue:	Undetermined
Publié:	Cambridge, Massachusetts The MIT Press [2016]
Sujets:	Machine learning; Máy học
Accès en ligne:	http://lrc.tdmu.edu.vn/opac/search/detail.asp?aID=2&ID=41713
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Thư viện lưu trữ:	Trung tâm Học liệu Trường Đại học Thủ Dầu Một


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001	TDMU_41713
008	210410s9999 xx 000 0 und d
082			\|a 006.3
090			\|b G432
100			\|a Goodfellow, Ian
245		0	\|a Deep learning
245		0	\|c Ian Goodfellow, Yoshua Bengio, and Aaron Courville
260			\|a Cambridge, Massachusetts
260			\|b The MIT Press
260			\|c [2016]
300			\|a xxii, 775 pages
520			\|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			\|a Machine learning; Máy học
700			\|a Bengio, Yoshua
856			\|u http://lrc.tdmu.edu.vn/opac/search/detail.asp?aID=2&ID=41713
980			\|a Trung tâm Học liệu Trường Đại học Thủ Dầu Một

Deep learning

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