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* [http://web.stanford.edu/~surag/posts/alphazero.html A Simple Alpha(Go) Zero Tutorial] by [[Surag Nair]], [[Stanford University]], December 29, 2017 » [[AlphaZero]], [[Monte-Carlo Tree Search|MCTS]] <ref>[http://www.talkchess.com/forum/viewtopic.php?t=66179 A Simple Alpha(Go) Zero Tutorial] by Oliver Roese, [[CCC]], December 30, 2017</ref>
: [https://github.com/suragnair/alpha-zero-general GitHub - suragnair/alpha-zero-general: A clean and simple implementation of a self-play learning algorithm based on AlphaGo Zero (any game, any framework!)]
* [https://software.intel.com/content/www/us/en/develop/articles/lower-numerical-precision-deep-learning-inference-and-training.html Lower Numerical Precision Deep Learning Inference and Training] by [https://community.intel.com/t5/user/viewprofilepage/user-id/134067 Andres Rodriguez] et al., [[Intel]], January 19, 2018 » [[AVX-512]]
==Videos==
* [https://www.youtube.com/channel/UC9OeZkIwhzfv-_Cb7fCikLQ Deep Learning SIMPLIFIED: The Series Intro] [https://en.wikipedia.org/wiki/YouTube YouTube] Videos
