Table of Contents · Deep Learning with Python (original) (raw)
table-of-contents
1. Fundamentals of deep learning
Chapter 1. What is deep learning?
1.1. Artificial intelligence, machine learning, and deep learning
1.1.1. Artificial intelligence
1.1.3. Learning representations from data
1.1.4. The “deep” in deep learning
1.1.5. Understanding how deep learning works, in three figures
1.1.6. What deep learning has achieved so far
1.1.7. Don’t believe the short-term hype
1.2. Before deep learning: a brief history of machine learning
1.2.4. Decision trees, random forests, and gradient boosting machines
1.2.5. Back to neural networks
1.2.6. What makes deep learning different
1.2.7. The modern machine-learning landscape
1.3. Why deep learning? Why now?
1.3.4. A new wave of investment