Deep Pink

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 Deep Pink , an experimental open source chess engine by Erik Bernhardsson, written in Python as an attempt to learn and play chess. Deep Pink applies negamax alpha-beta and a deep neural network as evaluation function, using Theano, python-chess, and Sunfish. The input representation seems similar to Octavius with 12x64 nodes, not feeding in side to move, castling rights, and en passant target square. The first hidden layer has 2048 neurons as well. Bernhardsson used a GPU instance to train the net with 100M games for about four days using stochastic gradient descent with Nesterov momentum .

=See also=
 * Deep Blue
 * Deep Learning
 * Neural MoveMap Heuristic
 * Octavius

=Postings=

2014

 * Deep learning for… chess by Erik Bernhardsson, November 29, 2014 » Deep Learning
 * Deep learning for chess Comments by mlla, Hacker News, December 2, 2014
 * As the author of sunfish.... by Thomas Ahle, Hacker News, December 2, 2014
 * This has been tried many times before, with better-but-still-lackluster results.... by halfcat, Hacker News, December 2, 2014


 * Deep learning for… chess (addendum) by Erik Bernhardsson, December 8, 2014

2015 ...

 * Deep Pink Chess Engine Concept... by supersharp77, CCC, June 01, 2016
 * ŷhat | Deep Learning for ... Chess by Erik Bernhardsson, February 02, 2017
 * Deep Pink: a chess engine using deep learning by Chao Ma, CCC, February 05, 2017

=External Links=
 * GitHub - erikbern/deep-pink: Deep Pink is a chess AI that learns to play chess using deep learning
 * Deep Purple - Hush, Shades of Deep Purple (1968), YouTube Video

=References= Up one level