Chapter 1: Getting Started with Deep Learning

Chapter 2: Training a Prediction Model

Chapter 3: Preventing Overfitting

Chapter 4: Identifying Anomalous Data

Chapter 5: Training Deep Prediction Models

Chapter 6: Tuning and Optimizing Models