Goodfellow, Ian creator author. Bengio, Yoshua author. Courville, Aaron author. text bibliography mau 2016 2016 monographic eng

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xxii, 781 pages : illustrations (some color) ; 28 cm. 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. Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Includes bibliographical references (pages 711-766) and index. Machine learning Q325.5 .G66 2016 006.31 GOO 9780262035613 0262035618 2016022992 DLC 160613 20260529191225.0 19134018 eng