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· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9781032462134
· 쪽수 : 464쪽
· 출판일 : 2025-11-27
목차
List of Figures
Preface
Section I Installing Python and Learning Animations
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1. Installing Anaconda and Jupyter Notebook
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2. Creating Animations
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Section II Machine Learning Basics
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3. Machine Learning: An Overview
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4. Gradient Descent - Where the Magic Happens
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5. Introduction to Neural Networks
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6. Activation Functions
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Section III Binary and Multi-Category Classifications
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7. Binary Classifications
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8. Convolutional Neural Networks
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9. Multi-Category Image Classifications
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Section IV Developing Deep Learning Game Strategies
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10. Deep Learning Game Strategies
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11. Deep Learning in the Cart Pole Game
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12. Deep Learning in Multi-Player Games
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13. Deep Learning in Connect Four
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Section V Reinforcement Learning
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14. Introduction to Reinforcement Learning
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15. Q-Learning with Continuous States
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16. Solving Real-World Problems with Machine Learning
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Section VI Deep Reinforcement Learning
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17. Deep Q-Learning
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18. Policy-Based Deep Reinforcement Learning
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19. The Policy Gradient Method in Breakout
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20. Double Deep Q-Learning
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21. Space Invaders with Double Deep Q-Learning
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22. Scaling Up Double Deep Q-Learning
Bibliography
