- Chapter 7: Simple Image Classifier
- Chapter 8: Parametrized Classification
- Chapter 9: Optimization Methods
- Chapter 10: NN Fundamentals
- Chapter 11: Convolutional NNs
- Chapter 12: Convolutional NNs Training
- Chapter 13: Saving/Loading Models
- Chapter 14: LeNet
- Chapter 15: MiniVGGNet
- Chapter 16: Learning Rate Scheduling
- Chapter 17: Spotting Under/Overfitting
- Chapter 18: Checkpointing
- Chapter 19: Network Visualisation
- Chapter 20: Pretrained CNNs
- Chapter 21: Captcha Breaker
- Chapter 22: Smile Detection
- Trained with SMILES