Deep learning /
by Goodfellow, Ian,
Series: Adaptive computation and machine learning Published by : Massachusetts Institute of Technology; (London:) Physical details: xxii, 775 pages : illustrations (some color) ; 24 cm. ISBN:9780262035613 (hardcover : alk. paper); 0262035618 (hardcover : alk. paper).| Item type | Current location | Call number | Status | Date due | Barcode |
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Books
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Giant Metrewave Radio Telescope General Stacks | 681.3 GOO (Browse shelf) | Checked out to SAPTARSHI SARKAR (SSA932) | 03/01/2025 | 16458 |
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.
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