From Tic Tac Toe to AlphaGo - Playing Games with AI and Machine Learning

From Tic Tac Toe to AlphaGo - Playing Games with AI and Machine Learning

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convolutional neural networks

19 of 32

19 of 32

convolutional neural networks

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Classroom Contents

From Tic Tac Toe to AlphaGo - Playing Games with AI and Machine Learning

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  1. 1 Intro
  2. 2 What do you need
  3. 3 Chess
  4. 4 Problem with Chess
  5. 5 Horizon Problem
  6. 6 Pruning
  7. 7 Pruning is dangerous
  8. 8 Better pruning
  9. 9 Minimax pruning
  10. 10 Chess bot
  11. 11 Chess branching factor
  12. 12 Go
  13. 13 Problems with Go
  14. 14 Monte Carlo Tree Search
  15. 15 How long will it take
  16. 16 Neural networks
  17. 17 Neural network playground
  18. 18 Tensorflow
  19. 19 convolutional neural networks
  20. 20 Reinforced network Go
  21. 21 Value network Go
  22. 22 Combining all the pieces
  23. 23 The Challenger
  24. 24 The Challenger Game 1
  25. 25 The Challenger Game 2
  26. 26 The Challenger Game 4
  27. 27 Conclusion
  28. 28 Nobody thought AlphaGo
  29. 29 AlphaGo went silent
  30. 30 New player MasterP
  31. 31 Healthcare
  32. 32 Questions

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