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
Part - 3: Deep Learning Research
Linear Factor Models
Representation Learning
Structured Probabilistic Models for Deep Learning
Monte Carlo Methods
Confronting the Partition Function
Approximate Inference
Deep Generative Models


Computer Engineering

006.31 / GOO

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