Deep learning / Ian Goodfellow, Yoshua Bengio, and Aaron Courville.

By:

Goodfellow, Ian [author.]

Contributor(s):

Material type:

TextSeries: Adaptive computation and machine learningPublisher: Cambridge, Massachusetts : The MIT Press, [2016]Copyright date: ©2016Description: xxii, 781 pages : illustrations (some color) ; 28 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780262035613
0262035618

Subject(s):

Machine learning

DDC classification:

006.31 GOO 23

LOC classification:

Q325.5 .G66 2016

Contents:

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.

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Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Books	CamTech Library			General Collections	006.31 GOO (Browse shelf(Opens below))				C.1	Available			0000003084

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Includes bibliographical references (pages 711-766) and index.

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