Deep Mind's AlphaGo Zero - EXPLAINED

We take a look at the best Go player of all time AlphaGo Zero. How does it work? What kind of Neural Network does it use? How does Monte Carlo Tree Search help in Learning? We'll answer these questions in this video. SUBSCRIBE on your way out for more awesome content! REFERENCES Deep mind blog on Alpha Zero: https://deepmind.com/blog/alphago-zero-learning-scratch/ Video on Alhpa Go Zero: https://www.youtube.com/watch?v=tXlM99xPQC8 Alhpa Go: https://deepmind.com/research/alphago/ Top list in forbes: https://www.forbes.com/sites/mariyayao/2018/02/05/12-amazing-deep-learning-breakthroughs-of-2017/#1a81502665db Blog post: https://web.stanford.edu/~surag/posts/alphazero.html Monte Carlo Tree Search: https://en.wikipedia.org/wiki/Monte_Carlo_tree_search MCTS in Go: https://storage.googleapis.com/deepmind-media/alphago/AlphaGoNaturePaper.pdf Alphago Zero Vs Alpha Go: https://www.youtube.com/watch?v=jeVihsgCeeE Tricks that AlphaGo zero used: https://hackernoon.com/the-3-tricks-that-made-alphago-zero-work-f3d47b6686ef MIC REFENCES GAN Image from: https://medium.com/@awjuliani/generative-adversarial-networks-explained-with-a-classic-spongebob-squarepants-episode-54deab2fce39 Thumbnail Background: https://www.upi.com/Odd_News/2016/03/12/Googles-AlphaGo-computer-outplays-board-game-champion/7721457815287/ AlphaGo symbol image in thumbnail: https://www.theinquirer.net/inquirer/news/3019507/googles-deepmind-learns-by-itself-as-alphago-zero-beats-its-predecessor Mario Kart Image: http://mariokart.wikia.com/wiki/Ghosts