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· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9781032462141
· 쪽수 : 464쪽
· 출판일 : 2023-10-31
목차
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 Classifciations
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. Apply Deep Learning to 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. Solve 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. Scale Up Double Deep Q-Learning
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