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List of Figures Preface Section I Installing Python and Learning Animations 1. Installing Anaconda and Jupyter Notebook 2. Creating Animations Section II Machine Learning Basics 3. Machine Learning: An Overview 4. Gradient Descent - Where the Magic Happens 5. Introduction to Neural Networks 6. Activation Functions Section III Binary and Multi-Category Classifications 7. Binary Classifications 8. Convolutional Neural Networks 9. Multi-Category Image Classifications Section IV Developing Deep Learning Game Strategies 10. Deep Learning Game Strategies 11. Deep Learning in the Cart Pole Game 12. Deep Learning in Multi-Player Games 13. Deep Learning in Connect Four Section V Reinforcement Learning 14. Introduction to Reinforcement Learning 15. Q-Learning with Continuous States 16. Solving Real-World Problems with Machine Learning Section VI Deep Reinforcement Learning 17. Deep Q-Learning 18. Policy-Based Deep Reinforcement Learning 19. The Policy Gradient Method in Breakout 20. Double Deep Q-Learning 21. Space Invaders with Double Deep Q-Learning 22. Scaling Up Double Deep Q-Learning Bibliography |