![]() Lizard-NNUE Experiment NOT bad with NNUE Net Evaluation.NNUE shared library and tools by Adam Treat, CCC, June 10, 2020.Stockfish NN release (NNUE) by Henk Drost, CCC, May 31, 2020.Stockfish NNUE by Henk Drost, CCC, May 31, 2020 » Stockfish.Re: The Stockfish of shogi by Gian-Carlo Pascutto, CCC, January 18, 2020 The Stockfish of shogi by Larry Kaufman, CCC, January 07, 2020 » Stockfish, Shogi.Ziosoft Computer Shogi Club, pdf, pdf (Japanese with English abstract) GitHub - asdfjkl/nnue translation ƎUИИ Efficiently Updatable Neural-Network based Evaluation Functions for Computer Shogi. NNUE structure with incremental update See also The remaining three layers with 32x2x256, 32x32 and 32x1 weights are computational less expensive, best calculated using appropriate SIMD instructions like AVX2 on x86-64, or if available, AVX-512. Where only a fraction of its neurons need to be recalculated. The efficiency of the net is due to incremental update of W1 in make and unmake move, The input layer W1 is heavily overparametrized, feeding in the board representation for various king configurations. The neural network of Stockfish NNUE consists of four layers, W1 through W4. The commercial Fat Fritz 2.0, based on a slightly modified Stockfish 12 using a customized, double sized network, was released by ChessBase in February 2021. The promising engines Halogen 7 and 8 by Kieren Pearson, and Seer by Connor McMonigle came with their own, distinct NNUE implementations, and on November 10, 2020, the commercial Dragon by Komodo Chess aka Komodo NNUE appeared, trying to close the gap to Stockfish NNUE. Daniel Shawul added NNUE support à la CFish into his egbbdll probing library of Scorpio, making it even easier to use NNUE. Most of them reported positive results, such as David Carteau with Orion, Ehsan Rashid with DON, various Stockfish derivatives by Michael Byrne, and Volodymyr Shcherbyna with Igel using the Night Nurse NNUE net by Dietrich Kappe. ![]() For quick trials and evaluating before going into serious development, some of them borrowed and/or rewrote NNUE code and use networks from Stockfish NNUE. Stockfish NNUE was born, and in summer 2020 the computer chess community bursts out enthusiastically due to its rapidly raising playing strength with different networks trained using a mixture of supervised and reinforcement learning methods -ĭespite the approximately halved search speed, becoming stronger than its original, finally responsible for the huge strength improvement of Stockfish 12.īeing tempted by the success of Stockfish NNUE and attracted by how easy the method and small the code is, many engine developers have started testing and applying NNUE. Nodchip incorporated NNUE into the chess playing Stockfish 10 as a proof of concept.
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