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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
