# Volume 3: Deep Learning and Neural Networks

- Chapter 1: Neural Network Basics
- Chapter 2: Self Organizing Maps
- Chapter 3: Hopfield & Boltzmann Machines
- Chapter 4: Feedforward Neural Networks
- Chapter 5: Training & Evaluation
- Chapter 6: Backpropagation Training
- Chapter 7: Other Propagation Training
- Chapter 8: NEAT, CPPN and HyperNEAT
- Chapter 9: Deep Learning
- Chapter 10: Convolutional Neural Networks
- Chapter 11: Pruning and Model Selection
- Chapter 12: Dropout and Regularization
- Chapter 13: Time Series and Recurrent Networks
- Chapter 14: Architecting Neural Networks
- Chapter 15: Visualization
- Chapter 16: Modeling with Neural Networks