Artificial Intelligence A-Z™: Learn How To Build An AI

• Instructors: Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, SuperDataScience Support
• Length: 16.5 hr
• Link: Artificial Intelligence A-Z™: Learn How To Build An AI
• Resources:
  • Artificial Intelligence A-Z™: Download Code Templates

Course Content

1. Introduction
2. Q-Learning Intuition
3. Q-Learning Visualization
4. Deep Q-Learning Intuition
5. Deep Q-Learning Implementation
6. Deep Q-Learning Visualization
7. Deep Convolutional Q-Learning Intuition
8. Deep Convolutional Q-Learning Implementation
9. Deep Convolutional Q-Learning Visualization
10. A3C Intuition
11. A3C Implementation
12. A3C Visualization
13. Annex 1: Artificial Neural Networks
14. Annex 2: Convolutional Neural Networks

Project Demo

Review

References

• Richard S. Sutton, Andrew G. Barto - Reinforcement Learning: An Introduction, 2nd Edition
• Medium | Arthur Juliani - Simple Reinforcement Learning with Tensorflow
• Richard Bellman - The Theory of Dynamic Programming
• D.J. White - A Survey of Applications of Markov Decison Processes
• Martijn van Otterlo, Marco A Wiering - Markov Decision Processes: Concepts and Algorithms