Difference between revisions of "Google DeepMind AlphaGo Zero"
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| + | |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS | ||
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[http://www.youtube.com/results?search_query=AlphaGo+Zero+Architecture+Artificial+intelligence Youtube search...] | [http://www.youtube.com/results?search_query=AlphaGo+Zero+Architecture+Artificial+intelligence Youtube search...] | ||
[http://www.google.com/search?q=AlphaGo+Zero+Architecture+Artificial+deep+machine+learning+ML ...Google search] | [http://www.google.com/search?q=AlphaGo+Zero+Architecture+Artificial+deep+machine+learning+ML ...Google search] | ||
Revision as of 21:51, 2 February 2019
Youtube search... ...Google search
- Service Capabilities
- Evolutionary Computation / Genetic Algorithms
- Architectures
- Google DeepMind AlphaFold
- Mastering the game of Go without human knowledge | Google DeepMind: David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy Lillicrap, Fan Hui, Laurent Sifre, George wan den Driessehe, Thore Graepel, & Demis Hassabis
- A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play | Google DeepMind: David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy Lillicrap, Fan Hui, Laurent Sifre, George wan den Driessehe, Thore Graepel, & Demis Hassabis - Science
- AlphaGo Zero Explained In One Diagram | David Foster
Monte Carlo Tree Search
MiniGo
A pure Python implementation of a neural-network based Go AI, using TensorFlow. While inspired by DeepMind's AlphaGo algorithm, this project is not a DeepMind project nor is it affiliated with the official AlphaGo project.
