Goodfellow, Ian

Deep Learning by Ian Goodfellow, Yoshua Bengio Aaron Courville - Cambridge Massachusetts Institute of Technology 2016 - 775p - Adaptive Computation and Machine Learning .

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

9780262035613


Computer Engineering

006.31 / GOO

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