Chapter 5 Machine Learning Basics
Chapter 6 Deep Feedforward Networks
Chapter 7 Regularization for Deep Learning
Chapter 8 Optimization for Training Deep Models
Chapter 9 Convolutional Network
Chapter 10 Sequence Modeling: Recurrent and Recursive Nets
Chapter 11 Practical Methodology