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 pages : illustrations (some color)ISBN:- 9780262035613
- 006.31 GOO
Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Books | Prof. Ram Dayal Munda Central Library General Stacks | Computer Science | 006.31 GOO (Browse shelf(Opens below)) | Available | 69049 | ||
Books | Prof. Ram Dayal Munda Central Library | Computer Science | 006.31 GOO (Browse shelf(Opens below)) | Available | 67519 |
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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