Deep Learning and the Game of Go, Video Edition

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here !
• 001. Part 1. Foundations.en.srt (0.6 KB)
• 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 efficien