Goodfellow, Bengio & Courville
- 1 Chapter 2: Linear Algebra
- 2 Chapter 3: Probability and Information Theory
- 3 Chapter 4: Numerical Computation
- 4 Chapter 5: Machine Learning Basics
- 5 Chapter 6: Deep Feedforward Networks
- 6 Chapter 7: Regularization for Deep Learning
- 7 Chapter 8: Optimization for Training Deep Models
- 8 Chapter 9: Convolutional Networks
- 9 Chapter 10: Sequence Modeling: Recurrent and Recursive Nets
- 10 Chapter 11: Practical Methodology