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NNUE, 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>,
were previously successfully applied in [[Shogi]] evaluation functions embedded in a Stockfish based search <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=2&t=72754 The Stockfish of shogi] by [[Larry Kaufman]], [[CCC]], January 07, 2020</ref>, 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>. He made an unbelievable prediction that NNUE can help to increase Stockfish by around 100 points<ref>[http://yaneuraou.yaneu.com/2019/06/24/%E5%B0%86%E6%A3%8B%E3%82%BD%E3%83%95%E3%83%88%E9%96%8B%E7%99%BA%E8%80%85%E3%81%8Cstockfish%E3%81%AB%E8%B2%A2%E7%8C%AE%E3%81%99%E3%82%8B%E6%97%A5/ The day when shogi software developers contribute to Stockfish], [[Yu Nasu]], June 2019</ref><ref>[https://www.reddit.com/r/chess/comments/cltich/shogi_engine_developer_claims_he_can_make/ shogi engine developer claims he can make Stockfish stronger], [[Computer Chess Forums|Reddit]], August 2019</ref>.
In 2019, Nodchip incorporated NNUE into Stockfish 10 - as a proof of concept, and with the intention to give something back to the Stockfish community <ref>[http://yaneuraou.yaneu.com/2020/06/19/stockfish-nnue-the-complete-guide/ Stockfish NNUE – The Complete Guide], June 19, 2020 (Japanese and English)</ref>.
After support and announcements by [[Henk Drost]] in May 2020 <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=2&t=74059 Stockfish NN release (NNUE)] by [[Henk Drost]], [[CCC]], May 31, 2020</ref>
and subsequent enhancements, Stockfish NNUE was established and recognized. In summer 2020, with more people involved in [[Engine Testing|testing]] and [[Learning|training]],
the computer chess community bursts out enthusiastically due to its rapidly raising [[Playing Strength|playing strength]] with different networks trained using a mixture of [[Supervised Learning|supervised]] and [[Reinforcement Learning|reinforcement learning]] methods. Despite the approximately halved search speed, Stockfish NNUE seemingly became stronger than its original <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=2&t=74484 Can the sardine! NNUE clobbers SF] by [[Henk Drost]], [[CCC]], July 16, 2020</ref>. In August 2020, [[Stockfish#Fishtest|Fishtest]] revealed Stockfish NNUE was stronger than the classical one at least 80 Elo<ref>[https://blog.stockfishchess.org/post/625828091343896577/introducing-nnue-evaluation Introducing NNUE Evaluation], August 06, 2020</ref>. In July 2020, the playing code of NNUE was put into the official Stockfish repository as a branch for further development and examination. In August that playing code merged to the master branch and become an official part of the engine. However, the training code still remained in Nodchip's repository <ref>[https://github.com/official-stockfish/Stockfish/issues/2823 NNUE merge · Issue #2823 · official-stockfish/Stockfish · GitHub] by [[Joost VandeVondele]], July 25, 2020</ref> <ref>[https://github.com/nodchip/Stockfish GitHub - nodchip/Stockfish: UCI chess engine] by [[Hisayori Noda|Nodchip]]</ref>.
=NNUE Structure=
=Elo Progress with NNUE=
[[Stockfish#Fishtest|Fishtest]] team did a Regression Tests<ref>https://github.com/glinscott/fishtest/wiki/Regression-Tests Regression Tests, August 2020</ref> in August 2020, exclusively from 40.000 games tests at long time control (60sec + 0.6 for single-core, 30sec + 0.3 for 8 cores tests). The result was used to create the graph of Stockfish progress since version 11. The chart lines increased sharply after merging NNUE.
[[File:Nnueprogress.png|none|border|text-bottom]].
