25,161
edits
Changes
NNUE
,no edit summary
'''NNUE''', (ƎUИИ Efficiently Updatable Neural Networks)<br/>
a Neural Network architecture intended to replace the [[Evaluation|evaluation]] of [[Shogi]], [[Chess|chess]] and other board game playing [[Alpha-Beta|alpha-beta]] searchers running on a CPU.Inspired by [[Kunihito Hoki|Kunihito Hoki's]] approach of [[Piece-Square Tables|piece-square tables]] indexed by king location, and further two-piece locations and side to move as applied in his Shogi engine [[Bonanza]] <ref>[http://yaneuraou.yaneu.com/2020/05/03/%E6%A9%9F%E6%A2%B0%E5%AD%A6%E7%BF%92%E3%82%A8%E3%83%B3%E3%82%B8%E3%83%8B%E3%82%A2%E3%81%AE%E3%81%9F%E3%82%81%E3%81%AE%E5%B0%86%E6%A3%8Bai%E9%96%8B%E7%99%BA%E5%85%A5%E9%96%80%E3%81%9D%E3%81%AE1/ 機械学習エンジニアのための将棋AI開発入門その1 Introduction to Shogi AI development for machine learning engineers Part 1], May 03, 2020 (Japanese)</ref>, '''NNUE ''' was introduced in 2018 by [[Yu Nasu]] <ref>[[Yu Nasu]] ('''2018'''). ''ƎUИИ Efficiently Updatable Neural-Network based Evaluation Functions for Computer Shogi''. Ziosoft Computer Shogi Club, [https://github.com/ynasu87/nnue/blob/master/docs/nnue.pdf pdf] (Japanese with English abstract)</ref>,and was used in Shogi adaptations of [[Stockfish]] such as [[YaneuraOu]] <ref>[https://github.com/yaneurao/YaneuraOu GitHub - yaneurao/YaneuraOu: YaneuraOu is the World's Strongest Shogi engine(AI player), WCSC29 1st winner, educational and USI compliant engine]</ref>,
and [[Kristallweizen]] <ref>[https://github.com/Tama4649/Kristallweizen/ GitHub - Tama4649/Kristallweizen: 第29回世界コンピュータ将棋選手権 準優勝のKristallweizenです。]</ref>, apparently with [[AlphaZero]] strength <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=2&t=72754 The Stockfish of shogi] by [[Larry Kaufman]], [[CCC]], January 07, 2020</ref>.
* [[Cerebrum]]
* [[David E. Moriarty#SANE|SANE]]
* [[Stockfish NNUE#HalfKA|Stockfish HalfKAv2]]
=Publications=
* [[Yu Nasu]] ('''2018'''). ''ƎUИИ Efficiently Updatable Neural-Network based Evaluation Functions for Computer Shogi''. Ziosoft Computer Shogi Club, [https://github.com/ynasu87/nnue/blob/master/docs/nnue.pdf pdf], [https://www.apply.computer-shogi.org/wcsc28/appeal/the_end_of_genesis_T.N.K.evolution_turbo_type_D/nnue.pdf pdf] (Japanese with English abstract) [https://github.com/asdfjkl/nnue GitHub - asdfjkl/nnue translation] <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=2&t=76250 Translation of Yu Nasu's NNUE paper] by [[Dominik Klein]], [[CCC]], January 07, 2021</ref>
* [[Dominik Klein]] ('''2021'''). ''[https://github.com/asdfjkl/neural_network_chess Neural Networks For Chess]''. [https://github.com/asdfjkl/neural_network_chess/releases/tag/v1.1 Release Version 1.1 · GitHub] <ref>[https://www.talkchess.com/forum3/viewtopic.php?f=2&t=78283 Book about Neural Networks for Chess] by dkl, [[CCC]], September 29, 2021</ref>
=Forum Posts=
* [http://www.talkchess.com/forum3/viewtopic.php?f=2&t=77664 Koivisto 5.0] by [[Finn Eggers]], [[CCC]], July 07, 2021 » [[Koivisto]]
* [http://www.talkchess.com/forum3/viewtopic.php?f=2&t=77681 NNUE one year retrospective] by Madeleine Birchfield, [[CCC]], July 09, 2021
===August===
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=77869 Basic NNUE questions] by [[Amanj Sherwany]], [[CCC]], August 04, 2021
===September===
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=78109 Alternatives to King-Pawn, King-All NNUE encoding] by [[Andrew Grant]], [[CCC]], September 05, 2021
=External Links=
* [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]]
* [https://en.wikipedia.org/wiki/Nue Nue from Wikipedia]
* [[:Category:Hiromi Uehara|Hiromi]] - [https://en.wikipedia.org/wiki/Spectrum_(Hiromi_album) Spectrum], 2019, [https://en.wikipedia.org/wiki/YouTube YouTube] Video
: {{#evu:https://www.youtube.com/watch?v=A8RCz_RoefM|alignment=left|valignment=top}}
=References=
'''[[Neural Networks|Up one Level]]'''
[[Category:Toriyama Sekien]]
[[Category:Hiromi Uehara]]
