Deep learning / Ian Goodfellow, Yoshua Bengio, and Aaron Courville.
Material type: TextSeries: Adaptive computation and machine learningPublication details: USA : MIT Press, 2016.Description: xxii, 775 p. : illustrations (some color) ; 24 cmISBN:- 9780262035613 (hardcover : alk. paper)
- 0262035618 (hardcover : alk. paper)
- 006.31 GOO 23
- Q325.5 .G66 2016
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
Books | Central Library, KUET On Display | 006.31 GOO (Browse shelf(Opens below)) | 01 | Not For Loan | 3010056476 | |||
Books | Central Library, KUET On Display | 006.31 GOO (Browse shelf(Opens below)) | 02 | Not For Loan | 3010056477 |
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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