Deep learning /

Goodfellow, Ian,

Deep learning / Ian Goodfellow, Yoshua Bengio, and Aaron Courville. - Cambridge, MA : MIT Press, 2017. - xxii, 775 pages : illustrations (some color) ; 24 cm. - Adaptive computation and machine learning .

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

Linear algebra -- Probability and information theory -- Numerical computation -- Machine learning basics -- Deep feedforward networks -- Regularization for deep learning -- Optimization for training deep models -- Convolutional networks -- Sequence modeling: recurrent and recursive nets -- Practical methodology -- Applications -- 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 0262035618


Machine learning,

006.31 / GOO

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