@book{110643,
author = {Goodfellow, Ian and Bengio, Yoshua },
title = {Deep Learning},
publisher = {Massachusetts Institute of Technology},
year = {2016},
address = {Cambridge},
note = {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}
}