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
Recommended