Deep learning /

Goodfellow, Ian

Deep learning / Ian Goodfellow, Yoshua Bengio, and Aaron Courville. - Cambridge, Massachusetts : The MIT Press, c2016 - xxii, 775 pages : illustrations (some color) ; 24 cm. - Adaptive computation and machine learning .

Includes bibliographical references (pages [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.

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

2016022992

Q325.5 / .G66 2016

006.31