Deep learning / Ian Goodfellow, Yoshua Bengio, and Aaron Courville.
Material type: TextLanguage: English Series: Adaptive computation and machine learningPublication details: Cambridge, MA : MIT Press, 2017.Description: xxii, 775 pages : illustrations (some color) ; 24 cmISBN:- 9780262035613
- 0262035618
- 006.31 23 GOO
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
General Books | CUTN Central Library Generalia | Non-fiction | 006.31 GOO (Browse shelf(Opens below)) | Available | 46847 | |
General Books | CUTN Central Library Generalia | Non-fiction | 006.31 GOO (Browse shelf(Opens below)) | Available | 36356 | |
General Books | CUTN Central Library Generalia | Non-fiction | 006.31 GOO (Browse shelf(Opens below)) | Available | 36357 | |
General Books | CUTN Central Library Generalia | Non-fiction | 006.31 GOO (Browse shelf(Opens below)) | Checked out to Soumya Karmakar (P231318) | 02/04/2024 | 34304 |
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.
Includes bibliographical references (pages 711-766) and index.
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