AlphaZero from Scratch – Machine Learning Tutorial

In this machine learning course, you will learn how to build AlphaZero from scratch. AlphaZero is a game-playing algorithm that uses artificial intelligence and machine learning techniques to learn how to play board games at a superhuman level. 🔗 Trained Models + Code for each Chapter: https://github.com/foersterrobert/AlphaZeroFromScratch 🔗 AlphaZero-Paper: https://arxiv.org/pdf/1712.01815.pdf ✏️ Robert Förster created this course. Website: https://robertfoerster.com/ ⭐️ Contents ⭐️ ⌨️ (0:00:00) Introduction ⌨️ (0:01:35) Overview – Part 1 ⌨️ (0:05:43) MCTS-Explained ⌨️ (0:27:03) AlphaMCTS-Explained ⌨️ (0:39:05) Overview – Part 2 ⌨️ (0:45:14) Chapter 1: TicTacToe ⌨️ (1:00:32) Chapter 2: MCTS ⌨️ (1:34:54) Chapter 3: Model ⌨️ (2:03:09) Chapter 4: AlphaMCTS ⌨️ (2:16:39) Chapter 5: AlphaSelfPlay ⌨️ (2:35:13) Chapter 6: AlphaTrain ⌨️ (2:47:15) Chapter 7: AlphaTweaks ⌨️ (3:08:18) Chapter 8: ConnectFour ⌨️ (3:21:48) Chapter 9: AlphaParallel ⌨️ (3:55:59) Chapter 10: Eval 🎉 Thanks to our Champion and Sponsor supporters: 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Erdeniz Unvan 👾 Justin Hual 👾 Agustín Kussrow 👾 Otis Morgan -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news