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

By:

Goodfellow, Ian [author.]

Contributor(s):

Material type: Text

TextSeries: Adaptive computation and machine learningPublisher: Cambridge, Massachusetts : The MIT Press, [2016]Copyright date: ©2016Description: xxii, 775 pages : illustrations (some color) ; 24 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780262035613 (hardcover : alk. paper)
0262035618 (hardcover : alk. paper)

Subject(s):

Machine learning

DDC classification:

006.3/1 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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