Deep Learning by Ian Goodfellow, Yoshua Bengio Aaron Courville
By: Goodfellow, Ian
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Contributor(s): Bengio, Yoshua | Courville, Aaron.
Material type: 
BookSeries: Adaptive Computation and Machine Learning. Publisher: Cambridge Massachusetts Institute of Technology 2016Description: 775p.ISBN: 9780262035613.Subject(s): Computer EngineeringDDC classification: 006.31
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Institute of Technology | General | 006.31 GOO (Browse shelf) | Checked out | 08/10/2020 | T0048220 | |
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Institute of Technology | General | 006.31 GOO (Browse shelf) | Available | T0048219 | ||
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Institute of Technology | General | 006.31 GOO (Browse shelf) | Available | T0048218 | ||
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Institute of Technology | Reference | 006.31 GOO (Browse shelf) | Not For Loan | T0048217 |
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Part - 1: Applied Math and Machine Learning Basics
Linear Algebra
Probability and Information Theory
Numerical Computation
Machine Learning Basics
Part - 2: Deep Networks: Modern Practices
Deep Feed forward Networks
Regularization for Deep Learning
Optimization for Training Deep Models
Convolutional Networks
Sequence Modeling: Recurrent and Recursive Nets
Practical Methodology
Applications
Part - 3: 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
Bibliography
Index
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