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Language:
English
Total Size:
1.5 GB
Info Hash:
340DDE90E544C8C924661EF11E2C18765610524C
Added By:
Added:
Sept. 25, 2025, 6:32 p.m.
Stats:
|
(Last updated: Sept. 25, 2025, 6:38 p.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 180 bytes |
| 001. Part 1. Foundations.en.srt | 600 bytes |
| 001. Part 1. Foundations.mp4 | 1.0 MB |
| 002. Chapter 1. Toward deep learning - a machine-learning introduction.en.srt | 18.0 KB |
| 002. Chapter 1. Toward deep learning - a machine-learning introduction.mp4 | 29.5 MB |
| 003. Chapter 1. Machine learning by example.en.srt | 18.7 KB |
| 003. Chapter 1. Machine learning by example.mp4 | 28.1 MB |
| 004. Chapter 1. Deep learning.en.srt | 7.1 KB |
| 004. Chapter 1. Deep learning.mp4 | 11.0 MB |
| 005. Chapter 1. What you ll learn in this book.en.srt | 2.4 KB |
| 005. Chapter 1. What you ll learn in this book.mp4 | 3.5 MB |
| 006. Chapter 1. Summary.en.srt | 2.3 KB |
| 006. Chapter 1. Summary.mp4 | 5.9 MB |
| 007. Chapter 2. Go as a machine-learning problem.en.srt | 4.2 KB |
| 007. Chapter 2. Go as a machine-learning problem.mp4 | 8.6 MB |
| 008. Chapter 2. A lightning introduction to the game of Go.en.srt | 12.7 KB |
| 008. Chapter 2. A lightning introduction to the game of Go.mp4 | 23.0 MB |
| 009. Chapter 2. Handicaps.en.srt | 1.2 KB |
| 009. Chapter 2. Handicaps.mp4 | 2.3 MB |
| 010. Chapter 2. Where to learn more.en.srt | 1.5 KB |
| 010. Chapter 2. Where to learn more.mp4 | 2.9 MB |
| 011. Chapter 2. What can we teach a machine.en.srt | 9.7 KB |
| 011. Chapter 2. What can we teach a machine.mp4 | 17.5 MB |
| 012. Chapter 2. How to measure your Go AI s strength.en.srt | 3.7 KB |
| 012. Chapter 2. How to measure your Go AI s strength.mp4 | 6.9 MB |
| 013. Chapter 2. Summary.en.srt | 1.3 KB |
| 013. Chapter 2. Summary.mp4 | 3.8 MB |
| 014. Chapter 3. Implementing your first Go bot.en.srt | 19.9 KB |
| 014. Chapter 3. Implementing your first Go bot.mp4 | 29.0 MB |
| 015. Chapter 3. Capturing game state and checking for illegal moves.en.srt | 9.2 KB |
| 015. Chapter 3. Capturing game state and checking for illegal moves.mp4 | 14.4 MB |
| 016. Chapter 3. Ending a game.en.srt | 6.4 KB |
| 016. Chapter 3. Ending a game.mp4 | 10.6 MB |
| 017. Chapter 3. Creating your first bot - the weakest Go AI imaginable.en.srt | 4.9 KB |
| 017. Chapter 3. Creating your first bot - the weakest Go AI imaginable.mp4 | 9.6 MB |
| 018. Chapter 3. Speeding up game play with Zobrist hashing.en.srt | 9.5 KB |
| 018. Chapter 3. Speeding up game play with Zobrist hashing.mp4 | 20.0 MB |
| 019. Chapter 3. Playing against your bot.en.srt | 2.2 KB |
| 019. Chapter 3. Playing against your bot.mp4 | 3.7 MB |
| 020. Chapter 3. Summary.en.srt | 1.6 KB |
| 020. Chapter 3. Summary.mp4 | 3.9 MB |
| 021. Part 2. Machine learning and game AI.en.srt | 1.0 KB |
| 021. Part 2. Machine learning and game AI.mp4 | 1.9 MB |
| 022. Chapter 4. Playing games with tree search.en.srt | 8.5 KB |
| 022. Chapter 4. Playing games with tree search.mp4 | 17.1 MB |
| 023. Chapter 4. Anticipating your opponent with minimax search.en.srt | 6.9 KB |
| 023. Chapter 4. Anticipating your opponent with minimax search.mp4 | 10.2 MB |
| 024. Chapter 4. Solving tic-tac-toe - a minimax example.en.srt | 4.8 KB |
| 024. Chapter 4. Solving tic-tac-toe - a minimax example.mp4 | 9.5 MB |
| 025. Chapter 4. Reducing search space with pruning.en.srt | 21.0 KB |
| 025. Chapter 4. Reducing search space with pruning.mp4 | 35.0 MB |
| 026. Chapter 4. Evaluating game states with Monte Carlo tree search.en.srt | 24.9 KB |
| 026. Chapter 4. Evaluating game states with Monte Carlo tree search.mp4 | 44.2 MB |
| 027. Chapter 4. Summary.en.srt | 1.9 KB |
| 027. Chapter 4. Summary.mp4 | 5.9 MB |
| 028. Chapter 5. Getting started with neural networks.en.srt | 25.2 KB |
| 028. Chapter 5. Getting started with neural networks.mp4 | 45.7 MB |
| 029. Chapter 5. The basics of neural networks.en.srt | 4.6 KB |
| 029. Chapter 5. The basics of neural networks.mp4 | 6.9 MB |
| 030. Chapter 5. Feed-forward networks.en.srt | 8.9 KB |
| 030. Chapter 5. Feed-forward networks.mp4 | 20.3 MB |
| 031. Chapter 5. How good are our predictions Loss functions and optimization.en.srt | 21.0 KB |
| 031. Chapter 5. How good are our predictions Loss functions and optimization.mp4 | 38.6 MB |
| 032. Chapter 5. Training a neural network step-by-step in Python.en.srt | 16.2 KB |
| 032. Chapter 5. Training a neural network step-by-step in Python.mp4 | 30.0 MB |
| 033. Chapter 5. Summary.en.srt | 2.5 KB |
| 033. Chapter 5. Summary.mp4 | 5.8 MB |
| 034. Chapter 6. Designing a neural network for Go data.en.srt | 10.4 KB |
| 034. Chapter 6. Designing a neural network for Go data.mp4 | 22.1 MB |
| 035. Chapter 6. Generating tree-search games as network training data.en.srt | 5.5 KB |
| 035. Chapter 6. Generating tree-search games as network training data.mp4 | 11.5 MB |
| 036. Chapter 6. Using the Keras deep-learning library.en.srt | 20.2 KB |
| 036. Chapter 6. Using the Keras deep-learning library.mp4 | 34.4 MB |
| 037. Chapter 6. Analyzing space with convolutional networks.en.srt | 17.2 KB |
| 037. Chapter 6. Analyzing space with convolutional networks.mp4 | 34.5 MB |
| 038. Chapter 6. Predicting Go move probabilities.en.srt | 11.1 KB |
| 038. Chapter 6. Predicting Go move probabilities.mp4 | 23.5 MB |
| 039. Chapter 6. Building deeper networks with dropout and rectified linear units.en.srt | 5.9 KB |
| 039. Chapter 6. Building deeper networks with dropout and rectified linear units.mp4 | 11.6 MB |
| 040. Chapter 6. Putting it all together for a stronger Go move-prediction network.en.srt | 6.2 KB |
| 040. Chapter 6. Putting it all together for a stronger Go move-prediction network.mp4 | 12.5 MB |
| 041. Chapter 6. Summary.en.srt | 1.5 KB |
| 041. Chapter 6. Summary.mp4 | 4.6 MB |
| 042. Chapter 7. Learning from data - a deep-learning bot.en.srt | 12.1 KB |
| 042. Chapter 7. Learning from data - a deep-learning bot.mp4 | 23.6 MB |
| 043. Chapter 7. Preparing Go data for deep learning.en.srt | 22.9 KB |
| 043. Chapter 7. Preparing Go data for deep learning.mp4 | 43.0 MB |
| 044. Chapter 7. Training a deep-learning model on human game-play data.en.srt | 12.1 KB |
| 044. Chapter 7. Training a deep-learning model on human game-play data.mp4 | 25.9 MB |
| 045. Chapter 7. Building more-realistic Go data encoders.en.srt | 5.6 KB |
| 045. Chapter 7. Building more-realistic Go data encoders.mp4 | 11.5 MB |
| 046. Chapter 7. Training efficiently with adaptive gradients.en.srt | 11.6 KB |
| 046. Chapter 7. Training efficiently with adaptive gradients.mp4 | 20.6 MB |
| 047. Chapter 7. Running your own experiments and evaluating performance.en.srt | 14.3 KB |
| 047. Chapter 7. Running your own experiments and evaluating performance.mp4 | 35.9 MB |
| 048. Chapter 7. Summary.en.srt | 1.5 KB |
| 048. Chapter 7. Summary.mp4 | 4.3 MB |
| 049. Chapter 8. Deploying bots in the wild.en.srt | 10.2 KB |
| 049. Chapter 8. Deploying bots in the wild.mp4 | 22.0 MB |
| 050. Chapter 8. Serving your Go bot to a web frontend.en.srt | 6.6 KB |
| 050. Chapter 8. Serving your Go bot to a web frontend.mp4 | 12.0 MB |
| 051. Chapter 8. Training and deploying a Go bot in the cloud.en.srt | 2.7 KB |
| 051. Chapter 8. Training and deploying a Go bot in the cloud.mp4 | 5.3 MB |
| 052. Chapter 8. Talking to other bots - the Go Text Protocol.en.srt | 6.6 KB |
| 052. Chapter 8. Talking to other bots - the Go Text Protocol.mp4 | 14.2 MB |
| 053. Chapter 8. Competing against other bots locally.en.srt | 11.0 KB |
| 053. Chapter 8. Competing against other bots locally.mp4 | 17.7 MB |
| 054. Chapter 8. Deploying a Go bot to an online Go server.en.srt | 6.2 KB |
| 054. Chapter 8. Deploying a Go bot to an online Go server.mp4 | 12.0 MB |
| 055. Chapter 8. Summary.en.srt | 1.2 KB |
| 055. Chapter 8. Summary.mp4 | 3.8 MB |
| 056. Chapter 9. Learning by practice - reinforcement learning.en.srt | 8.6 KB |
| 056. Chapter 9. Learning by practice - reinforcement learning.mp4 | 15.5 MB |
| 057. Chapter 9. What goes into experience.en.srt | 8.7 KB |
| 057. Chapter 9. What goes into experience.mp4 | 14.3 MB |
| 058. Chapter 9. Building an agent that can learn.en.srt | 15.1 KB |
| 058. Chapter 9. Building an agent that can learn.mp4 | 26.8 MB |
| 059. Chapter 9. Self-play - how a computer program practices.en.srt | 9.7 KB |
| 059. Chapter 9. Self-play - how a computer program practices.mp4 | 18.6 MB |
| 060. Chapter 9. Summary.en.srt | 1.9 KB |
| 060. Chapter 9. Summary.mp4 | 5.5 MB |
| 061. Chapter 10. Reinforcement learning with policy gradients.en.srt | 11.0 KB |
| 061. Chapter 10. Reinforcement learning with policy gradients.mp4 | 19.0 MB |
| 062. Chapter 10. Modifying neural network policies with gradient descent.en.srt | 12.2 KB |
| 062. Chapter 10. Modifying neural network policies with gradient descent.mp4 | 21.8 MB |
| 063. Chapter 10. Tips for training with self-play.en.srt | 16.5 KB |
| 063. Chapter 10. Tips for training with self-play.mp4 | 27.8 MB |
| 064. Chapter 10. Summary.en.srt | 1.8 KB |
| 064. Chapter 10. Summary.mp4 | 5.1 MB |
| 065. Chapter 11. Reinforcement learning with value methods.en.srt | 12.4 KB |
| 065. Chapter 11. Reinforcement learning with value methods.mp4 | 20.2 MB |
| 066. Chapter 11. Q-learning with Keras.en.srt | 13.8 KB |
| 066. Chapter 11. Q-learning with Keras.mp4 | 24.1 MB |
| 067. Chapter 11. Summary.en.srt | 1.2 KB |
| 067. Chapter 11. Summary.mp4 | 3.7 MB |
| 068. Chapter 12. Reinforcement learning with actor-critic methods.en.srt | 14.3 KB |
| 068. Chapter 12. Reinforcement learning with actor-critic methods.mp4 | 25.2 MB |
| 069. Chapter 12. Designing a neural network for actor-critic learning.en.srt | 3.9 KB |
| 069. Chapter 12. Designing a neural network for actor-critic learning.mp4 | 8.1 MB |
| 070. Chapter 12. Playing games with an actor-critic agent.en.srt | 1.0 KB |
| 070. Chapter 12. Playing games with an actor-critic agent.mp4 | 2.1 MB |
| 071. Chapter 12. Training an actor-critic agent from experience data.en.srt | 11.2 KB |
| 071. Chapter 12. Training an actor-critic agent from experience data.mp4 | 19.4 MB |
| 072. Chapter 12. Summary.en.srt | 2.0 KB |
| 072. Chapter 12. Summary.mp4 | 3.6 MB |
| 073. Part 3. Greater than the sum of its parts.en.srt | 979 bytes |
| 073. Part 3. Greater than the sum of its parts.mp4 | 2.1 MB |
| 074. Chapter 13. AlphaGo - Bringing it all together.en.srt | 26.5 KB |
| 074. Chapter 13. AlphaGo - Bringing it all together.mp4 | 51.5 MB |
| 075. Chapter 13. Bootstrapping self-play from policy networks.en.srt | 3.9 KB |
| 075. Chapter 13. Bootstrapping self-play from policy networks.mp4 | 8.1 MB |
| 076. Chapter 13. Deriving a value network from self-play data.en.srt | 1.8 KB |
| 076. Chapter 13. Deriving a value network from self-play data.mp4 | 3.5 MB |
| 077. Chapter 13. Better search with policy and value networks.en.srt | 25.1 KB |
| 077. Chapter 13. Better search with policy and value networks.mp4 | 47.7 MB |
| 078. Chapter 13. Practical considerations for training your own AlphaGo.en.srt | 5.4 KB |
| 078. Chapter 13. Practical considerations for training your own AlphaGo.mp4 | 13.8 MB |
| 079. Chapter 13. Summary.en.srt | 1.7 KB |
| 079. Chapter 13. Summary.mp4 | 5.6 MB |
| 080. Chapter 14. AlphaGo Zero - Integrating tree search with reinforcement learning.en.srt | 9.8 KB |
| 080. Chapter 14. AlphaGo Zero - Integrating tree search with reinforcement learning.mp4 | 19.0 MB |
| 081. Chapter 14. Guiding tree search with a neural network.en.srt | 21.3 KB |
| 081. Chapter 14. Guiding tree search with a neural network.mp4 | 28.8 MB |
| 082. Chapter 14. Training.en.srt | 6.7 KB |
| 082. Chapter 14. Training.mp4 | 12.9 MB |
| 083. Chapter 14. Improving exploration with Dirichlet noise.en.srt | 4.7 KB |
| 083. Chapter 14. Improving exploration with Dirichlet noise.mp4 | 9.5 MB |
| 084. Chapter 14. Modern techniques for deeper neural networks.en.srt | 6.5 KB |
| 084. Chapter 14. Modern techniques for deeper neural networks.mp4 | 11.4 MB |
| 085. Chapter 14. Exploring additional resources.en.srt | 2.2 KB |
| 085. Chapter 14. Exploring additional resources.mp4 | 5.3 MB |
| 086. Chapter 14. Wrapping up.en.srt | 1.2 KB |
| 086. Chapter 14. Wrapping up.mp4 | 1.8 MB |
| 087. Chapter 14. Summary.en.srt | 1.7 KB |
| 087. Chapter 14. Summary.mp4 | 4.7 MB |
| 088. Appendix A. Mathematical foundations.en.srt | 16.6 KB |
| 088. Appendix A. Mathematical foundations.mp4 | 24.7 MB |
| 089. Appendix B. The backpropagation algorithm.en.srt | 12.8 KB |
| 089. Appendix B. The backpropagation algorithm.mp4 | 21.2 MB |
| 090. Appendix C. Go programs and servers.en.srt | 7.0 KB |
| 090. Appendix C. Go programs and servers.mp4 | 16.2 MB |
| 091. Appendix D. Training and deploying bots by using Amazon Web Services.en.srt | 18.9 KB |
| 091. Appendix D. Training and deploying bots by using Amazon Web Services.mp4 | 33.8 MB |
| 092. Appendix E. Submitting a bot to the Online Go Server.en.srt | 17.9 KB |
| 092. Appendix E. Submitting a bot to the Online Go Server.mp4 | 32.0 MB |
| Bonus Resources.txt | 70 bytes |
Name
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Uploader
Size
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36.7 MB
[3
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2023-07-01
| Uploaded by FreeCourseWeb | Size 36.7 MB | Health [ 3 /0 ] | Added 2023-07-01 |
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39.7 MB
[15
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2023-07-01
| Uploaded by FreeCourseWeb | Size 39.7 MB | Health [ 15 /7 ] | Added 2023-07-01 |
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141.7 MB
[8
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5]
2023-07-01
| Uploaded by FreeCourseWeb | Size 141.7 MB | Health [ 8 /5 ] | Added 2023-07-01 |
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28.8 MB
[0
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2023-07-01
| Uploaded by FreeCourseWeb | Size 28.8 MB | Health [ 0 /7 ] | Added 2023-07-01 |
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2.8 MB
[10
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0]
2023-07-01
| Uploaded by FreeCourseWeb | Size 2.8 MB | Health [ 10 /0 ] | Added 2023-07-01 |
NOTE
SOURCE: Deep Learning and the Game of Go Video Edition
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COVER
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MEDIAINFO
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