[ WebToolTip.com ] Deep Learning and the Game of Go, Video Edition

Creation Time	Oct. 19, 2025, 1:02 a.m.
Last Access Time	April 5, 2026, 9:28 p.m.
File Size	1.5 GB
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~Get Your Files Here !/074. Chapter 13. AlphaGo - Bringing it all together.mp4 51.5 MB
~Get Your Files Here !/077. Chapter 13. Better search with policy and value networks.mp4 47.7 MB
~Get Your Files Here !/028. Chapter 5. Getting started with neural networks.mp4 45.7 MB
~Get Your Files Here !/026. Chapter 4. Evaluating game states with Monte Carlo tree search.mp4 44.2 MB
~Get Your Files Here !/043. Chapter 7. Preparing Go data for deep learning.mp4 43.0 MB
~Get Your Files Here !/031. Chapter 5. How good are our predictions Loss functions and optimization.mp4 38.6 MB
~Get Your Files Here !/047. Chapter 7. Running your own experiments and evaluating performance.mp4 35.9 MB
~Get Your Files Here !/025. Chapter 4. Reducing search space with pruning.mp4 35.0 MB
~Get Your Files Here !/037. Chapter 6. Analyzing space with convolutional networks.mp4 34.5 MB
~Get Your Files Here !/036. Chapter 6. Using the Keras deep-learning library.mp4 34.4 MB
~Get Your Files Here !/091. Appendix D. Training and deploying bots by using Amazon Web Services.mp4 33.8 MB
~Get Your Files Here !/092. Appendix E. Submitting a bot to the Online Go Server.mp4 32.0 MB
~Get Your Files Here !/032. Chapter 5. Training a neural network step-by-step in Python.mp4 30.0 MB
~Get Your Files Here !/002. Chapter 1. Toward deep learning - a machine-learning introduction.mp4 29.5 MB
~Get Your Files Here !/014. Chapter 3. Implementing your first Go bot.mp4 29.0 MB
~Get Your Files Here !/081. Chapter 14. Guiding tree search with a neural network.mp4 28.8 MB
~Get Your Files Here !/003. Chapter 1. Machine learning by example.mp4 28.1 MB
~Get Your Files Here !/063. Chapter 10. Tips for training with self-play.mp4 27.8 MB
~Get Your Files Here !/058. Chapter 9. Building an agent that can learn.mp4 26.8 MB
~Get Your Files Here !/044. Chapter 7. Training a deep-learning model on human game-play data.mp4 25.9 MB
~Get Your Files Here !/068. Chapter 12. Reinforcement learning with actor-critic methods.mp4 25.2 MB
~Get Your Files Here !/088. Appendix A. Mathematical foundations.mp4 24.7 MB
~Get Your Files Here !/066. Chapter 11. Q-learning with Keras.mp4 24.1 MB
~Get Your Files Here !/042. Chapter 7. Learning from data - a deep-learning bot.mp4 23.6 MB
~Get Your Files Here !/038. Chapter 6. Predicting Go move probabilities.mp4 23.5 MB
~Get Your Files Here !/008. Chapter 2. A lightning introduction to the game of Go.mp4 23.0 MB
~Get Your Files Here !/034. Chapter 6. Designing a neural network for Go data.mp4 22.1 MB
~Get Your Files Here !/049. Chapter 8. Deploying bots in the wild.mp4 22.0 MB
~Get Your Files Here !/062. Chapter 10. Modifying neural network policies with gradient descent.mp4 21.8 MB
~Get Your Files Here !/089. Appendix B. The backpropagation algorithm.mp4 21.2 MB
~Get Your Files Here !/046. Chapter 7. Training efficiently with adaptive gradients.mp4 20.6 MB
~Get Your Files Here !/030. Chapter 5. Feed-forward networks.mp4 20.3 MB
~Get Your Files Here !/065. Chapter 11. Reinforcement learning with value methods.mp4 20.2 MB
~Get Your Files Here !/018. Chapter 3. Speeding up game play with Zobrist hashing.mp4 20.0 MB
~Get Your Files Here !/071. Chapter 12. Training an actor-critic agent from experience data.mp4 19.4 MB
~Get Your Files Here !/061. Chapter 10. Reinforcement learning with policy gradients.mp4 19.0 MB
~Get Your Files Here !/080. Chapter 14. AlphaGo Zero - Integrating tree search with reinforcement learning.mp4 19.0 MB
~Get Your Files Here !/059. Chapter 9. Self-play - how a computer program practices.mp4 18.6 MB
~Get Your Files Here !/053. Chapter 8. Competing against other bots locally.mp4 17.7 MB
~Get Your Files Here !/011. Chapter 2. What can we teach a machine.mp4 17.5 MB
~Get Your Files Here !/022. Chapter 4. Playing games with tree search.mp4 17.1 MB
~Get Your Files Here !/090. Appendix C. Go programs and servers.mp4 16.2 MB
~Get Your Files Here !/056. Chapter 9. Learning by practice - reinforcement learning.mp4 15.5 MB
~Get Your Files Here !/015. Chapter 3. Capturing game state and checking for illegal moves.mp4 14.4 MB
~Get Your Files Here !/057. Chapter 9. What goes into experience.mp4 14.3 MB
~Get Your Files Here !/052. Chapter 8. Talking to other bots - the Go Text Protocol.mp4 14.2 MB
~Get Your Files Here !/078. Chapter 13. Practical considerations for training your own AlphaGo.mp4 13.8 MB
~Get Your Files Here !/082. Chapter 14. Training.mp4 12.9 MB
~Get Your Files Here !/040. Chapter 6. Putting it all together for a stronger Go move-prediction network.mp4 12.5 MB
~Get Your Files Here !/050. Chapter 8. Serving your Go bot to a web frontend.mp4 12.0 MB
~Get Your Files Here !/054. Chapter 8. Deploying a Go bot to an online Go server.mp4 12.0 MB
~Get Your Files Here !/039. Chapter 6. Building deeper networks with dropout and rectified linear units.mp4 11.6 MB
~Get Your Files Here !/045. Chapter 7. Building more-realistic Go data encoders.mp4 11.5 MB
~Get Your Files Here !/035. Chapter 6. Generating tree-search games as network training data.mp4 11.5 MB
~Get Your Files Here !/084. Chapter 14. Modern techniques for deeper neural networks.mp4 11.4 MB
~Get Your Files Here !/004. Chapter 1. Deep learning.mp4 11.0 MB
~Get Your Files Here !/016. Chapter 3. Ending a game.mp4 10.6 MB
~Get Your Files Here !/023. Chapter 4. Anticipating your opponent with minimax search.mp4 10.2 MB
~Get Your Files Here !/017. Chapter 3. Creating your first bot - the weakest Go AI imaginable.mp4 9.6 MB
~Get Your Files Here !/083. Chapter 14. Improving exploration with Dirichlet noise.mp4 9.5 MB
~Get Your Files Here !/024. Chapter 4. Solving tic-tac-toe - a minimax example.mp4 9.5 MB
~Get Your Files Here !/007. Chapter 2. Go as a machine-learning problem.mp4 8.6 MB
~Get Your Files Here !/069. Chapter 12. Designing a neural network for actor-critic learning.mp4 8.1 MB
~Get Your Files Here !/075. Chapter 13. Bootstrapping self-play from policy networks.mp4 8.1 MB
~Get Your Files Here !/012. Chapter 2. How to measure your Go AI s strength.mp4 6.9 MB
~Get Your Files Here !/029. Chapter 5. The basics of neural networks.mp4 6.9 MB
~Get Your Files Here !/027. Chapter 4. Summary.mp4 5.9 MB
~Get Your Files Here !/006. Chapter 1. Summary.mp4 5.9 MB
~Get Your Files Here !/033. Chapter 5. Summary.mp4 5.8 MB
~Get Your Files Here !/079. Chapter 13. Summary.mp4 5.6 MB
~Get Your Files Here !/060. Chapter 9. Summary.mp4 5.5 MB
~Get Your Files Here !/051. Chapter 8. Training and deploying a Go bot in the cloud.mp4 5.3 MB
~Get Your Files Here !/085. Chapter 14. Exploring additional resources.mp4 5.3 MB
~Get Your Files Here !/064. Chapter 10. Summary.mp4 5.1 MB
~Get Your Files Here !/087. Chapter 14. Summary.mp4 4.7 MB
~Get Your Files Here !/041. Chapter 6. Summary.mp4 4.6 MB
~Get Your Files Here !/048. Chapter 7. Summary.mp4 4.3 MB
~Get Your Files Here !/020. Chapter 3. Summary.mp4 3.9 MB
~Get Your Files Here !/055. Chapter 8. Summary.mp4 3.8 MB
~Get Your Files Here !/013. Chapter 2. Summary.mp4 3.8 MB
~Get Your Files Here !/067. Chapter 11. Summary.mp4 3.7 MB
~Get Your Files Here !/019. Chapter 3. Playing against your bot.mp4 3.7 MB
~Get Your Files Here !/072. Chapter 12. Summary.mp4 3.6 MB
~Get Your Files Here !/076. Chapter 13. Deriving a value network from self-play data.mp4 3.5 MB
~Get Your Files Here !/005. Chapter 1. What you ll learn in this book.mp4 3.5 MB
~Get Your Files Here !/010. Chapter 2. Where to learn more.mp4 2.9 MB
~Get Your Files Here !/009. Chapter 2. Handicaps.mp4 2.3 MB
~Get Your Files Here !/070. Chapter 12. Playing games with an actor-critic agent.mp4 2.1 MB
~Get Your Files Here !/073. Part 3. Greater than the sum of its parts.mp4 2.1 MB
~Get Your Files Here !/021. Part 2. Machine learning and game AI.mp4 1.9 MB
~Get Your Files Here !/086. Chapter 14. Wrapping up.mp4 1.8 MB
~Get Your Files Here !/001. Part 1. Foundations.mp4 1.0 MB
~Get Your Files Here !/074. Chapter 13. AlphaGo - Bringing it all together.en.srt 26.5 KB
~Get Your Files Here !/028. Chapter 5. Getting started with neural networks.en.srt 25.2 KB
~Get Your Files Here !/077. Chapter 13. Better search with policy and value networks.en.srt 25.1 KB
~Get Your Files Here !/026. Chapter 4. Evaluating game states with Monte Carlo tree search.en.srt 24.9 KB
~Get Your Files Here !/043. Chapter 7. Preparing Go data for deep learning.en.srt 22.9 KB
~Get Your Files Here !/081. Chapter 14. Guiding tree search with a neural network.en.srt 21.3 KB
~Get Your Files Here !/031. Chapter 5. How good are our predictions Loss functions and optimization.en.srt 21.0 KB
~Get Your Files Here !/025. Chapter 4. Reducing search space with pruning.en.srt 21.0 KB
~Get Your Files Here !/036. Chapter 6. Using the Keras deep-learning library.en.srt 20.2 KB
~Get Your Files Here !/014. Chapter 3. Implementing your first Go bot.en.srt 19.9 KB
~Get Your Files Here !/091. Appendix D. Training and deploying bots by using Amazon Web Services.en.srt 18.9 KB
~Get Your Files Here !/003. Chapter 1. Machine learning by example.en.srt 18.7 KB
~Get Your Files Here !/002. Chapter 1. Toward deep learning - a machine-learning introduction.en.srt 18.0 KB
~Get Your Files Here !/092. Appendix E. Submitting a bot to the Online Go Server.en.srt 17.9 KB
~Get Your Files Here !/037. Chapter 6. Analyzing space with convolutional networks.en.srt 17.2 KB
~Get Your Files Here !/088. Appendix A. Mathematical foundations.en.srt 16.6 KB
~Get Your Files Here !/063. Chapter 10. Tips for training with self-play.en.srt 16.5 KB
~Get Your Files Here !/032. Chapter 5. Training a neural network step-by-step in Python.en.srt 16.2 KB
~Get Your Files Here !/058. Chapter 9. Building an agent that can learn.en.srt 15.1 KB
~Get Your Files Here !/047. Chapter 7. Running your own experiments and evaluating performance.en.srt 14.3 KB
~Get Your Files Here !/068. Chapter 12. Reinforcement learning with actor-critic methods.en.srt 14.3 KB
~Get Your Files Here !/066. Chapter 11. Q-learning with Keras.en.srt 13.8 KB
~Get Your Files Here !/089. Appendix B. The backpropagation algorithm.en.srt 12.8 KB
~Get Your Files Here !/008. Chapter 2. A lightning introduction to the game of Go.en.srt 12.7 KB
~Get Your Files Here !/065. Chapter 11. Reinforcement learning with value methods.en.srt 12.4 KB
~Get Your Files Here !/062. Chapter 10. Modifying neural network policies with gradient descent.en.srt 12.2 KB
~Get Your Files Here !/042. Chapter 7. Learning from data - a deep-learning bot.en.srt 12.1 KB
~Get Your Files Here !/044. Chapter 7. Training a deep-learning model on human game-play data.en.srt 12.1 KB
~Get Your Files Here !/046. Chapter 7. Training efficiently with adaptive gradients.en.srt 11.6 KB
~Get Your Files Here !/071. Chapter 12. Training an actor-critic agent from experience data.en.srt 11.2 KB
~Get Your Files Here !/038. Chapter 6. Predicting Go move probabilities.en.srt 11.1 KB
~Get Your Files Here !/053. Chapter 8. Competing against other bots locally.en.srt 11.0 KB
~Get Your Files Here !/061. Chapter 10. Reinforcement learning with policy gradients.en.srt 11.0 KB
~Get Your Files Here !/034. Chapter 6. Designing a neural network for Go data.en.srt 10.4 KB
~Get Your Files Here !/049. Chapter 8. Deploying bots in the wild.en.srt 10.2 KB
~Get Your Files Here !/080. Chapter 14. AlphaGo Zero - Integrating tree search with reinforcement learning.en.srt 9.8 KB
~Get Your Files Here !/059. Chapter 9. Self-play - how a computer program practices.en.srt 9.7 KB
~Get Your Files Here !/011. Chapter 2. What can we teach a machine.en.srt 9.7 KB
~Get Your Files Here !/018. Chapter 3. Speeding up game play with Zobrist hashing.en.srt 9.5 KB
~Get Your Files Here !/015. Chapter 3. Capturing game state and checking for illegal moves.en.srt 9.2 KB
~Get Your Files Here !/030. Chapter 5. Feed-forward networks.en.srt 8.9 KB
~Get Your Files Here !/057. Chapter 9. What goes into experience.en.srt 8.7 KB
~Get Your Files Here !/056. Chapter 9. Learning by practice - reinforcement learning.en.srt 8.6 KB
~Get Your Files Here !/022. Chapter 4. Playing games with tree search.en.srt 8.5 KB
~Get Your Files Here !/004. Chapter 1. Deep learning.en.srt 7.1 KB
~Get Your Files Here !/090. Appendix C. Go programs and servers.en.srt 7.0 KB
~Get Your Files Here !/023. Chapter 4. Anticipating your opponent with minimax search.en.srt 6.9 KB
~Get Your Files Here !/082. Chapter 14. Training.en.srt 6.7 KB
~Get Your Files Here !/050. Chapter 8. Serving your Go bot to a web frontend.en.srt 6.6 KB
~Get Your Files Here !/052. Chapter 8. Talking to other bots - the Go Text Protocol.en.srt 6.6 KB
~Get Your Files Here !/084. Chapter 14. Modern techniques for deeper neural networks.en.srt 6.5 KB
~Get Your Files Here !/016. Chapter 3. Ending a game.en.srt 6.4 KB
~Get Your Files Here !/040. Chapter 6. Putting it all together for a stronger Go move-prediction network.en.srt 6.2 KB
~Get Your Files Here !/054. Chapter 8. Deploying a Go bot to an online Go server.en.srt 6.2 KB
~Get Your Files Here !/039. Chapter 6. Building deeper networks with dropout and rectified linear units.en.srt 5.9 KB
~Get Your Files Here !/045. Chapter 7. Building more-realistic Go data encoders.en.srt 5.6 KB
~Get Your Files Here !/035. Chapter 6. Generating tree-search games as network training data.en.srt 5.5 KB
~Get Your Files Here !/078. Chapter 13. Practical considerations for training your own AlphaGo.en.srt 5.4 KB
~Get Your Files Here !/017. Chapter 3. Creating your first bot - the weakest Go AI imaginable.en.srt 4.9 KB
~Get Your Files Here !/024. Chapter 4. Solving tic-tac-toe - a minimax example.en.srt 4.8 KB
~Get Your Files Here !/083. Chapter 14. Improving exploration with Dirichlet noise.en.srt 4.7 KB
~Get Your Files Here !/029. Chapter 5. The basics of neural networks.en.srt 4.6 KB
~Get Your Files Here !/007. Chapter 2. Go as a machine-learning problem.en.srt 4.2 KB
~Get Your Files Here !/075. Chapter 13. Bootstrapping self-play from policy networks.en.srt 3.9 KB
~Get Your Files Here !/069. Chapter 12. Designing a neural network for actor-critic learning.en.srt 3.9 KB
~Get Your Files Here !/012. Chapter 2. How to measure your Go AI s strength.en.srt 3.7 KB
~Get Your Files Here !/051. Chapter 8. Training and deploying a Go bot in the cloud.en.srt 2.7 KB
~Get Your Files Here !/033. Chapter 5. Summary.en.srt 2.5 KB
~Get Your Files Here !/005. Chapter 1. What you ll learn in this book.en.srt 2.4 KB
~Get Your Files Here !/006. Chapter 1. Summary.en.srt 2.3 KB
~Get Your Files Here !/019. Chapter 3. Playing against your bot.en.srt 2.2 KB
~Get Your Files Here !/085. Chapter 14. Exploring additional resources.en.srt 2.2 KB
~Get Your Files Here !/072. Chapter 12. Summary.en.srt 2.0 KB
~Get Your Files Here !/027. Chapter 4. Summary.en.srt 1.9 KB
~Get Your Files Here !/060. Chapter 9. Summary.en.srt 1.9 KB
~Get Your Files Here !/064. Chapter 10. Summary.en.srt 1.8 KB
~Get Your Files Here !/076. Chapter 13. Deriving a value network from self-play data.en.srt 1.8 KB
~Get Your Files Here !/087. Chapter 14. Summary.en.srt 1.7 KB
~Get Your Files Here !/079. Chapter 13. Summary.en.srt 1.7 KB
~Get Your Files Here !/020. Chapter 3. Summary.en.srt 1.6 KB
~Get Your Files Here !/048. Chapter 7. Summary.en.srt 1.5 KB
~Get Your Files Here !/041. Chapter 6. Summary.en.srt 1.5 KB
~Get Your Files Here !/010. Chapter 2. Where to learn more.en.srt 1.5 KB
~Get Your Files Here !/013. Chapter 2. Summary.en.srt 1.3 KB
~Get Your Files Here !/086. Chapter 14. Wrapping up.en.srt 1.2 KB
~Get Your Files Here !/009. Chapter 2. Handicaps.en.srt 1.2 KB
~Get Your Files Here !/055. Chapter 8. Summary.en.srt 1.2 KB
~Get Your Files Here !/067. Chapter 11. Summary.en.srt 1.2 KB
~Get Your Files Here !/021. Part 2. Machine learning and game AI.en.srt 1.0 KB
~Get Your Files Here !/070. Chapter 12. Playing games with an actor-critic agent.en.srt 1.0 KB
~Get Your Files Here !/073. Part 3. Greater than the sum of its parts.en.srt 979 bytes
~Get Your Files Here !/001. Part 1. Foundations.en.srt 600 bytes
Get Bonus Downloads Here.url 180 bytes
~Get Your Files Here !/Bonus Resources.txt 70 bytes

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