By François Pays
TensorFlow.js implementation of DeepMind’s AlphaGo-Zero algorithm for chess.
You can play the live demo at: https://frpays.github.io/lc0-js/
Open source code at: https://github.com/frpays/lc0-js/
JavaScript chessboard powered by chessboard.js and chess.js.
Neural network accelerated by tensorflowjs.
Tags: AI, Algorithms, AlphaGo Zero, AlphaZero, analytics, ar, architectures are not directly comparable, artificialintelligence, automation, bhfyp, bigdata, bitcoin, Blockchain, blockchaintechnology, business, c, chess, chess community, chess programs, code, coding, college, colleges, Computers, computervision, crm, crypto, cryptocurrencies, data, dataanalytics, datacollection, datascience, deeplearning, designed, developer, Developers, digital, digitaldarwin, digitalmarketing, dynamics, Economy, engineering, g, gafa, game, gamers, GARRY KASPAROV, gen, Go, hardware, html, innovation, internetofthings, iot, Japanese chess, javascript, Jobs, linux, machinelearning, MCTS, millennialdisruptionindex, millennials, Monte-Carlo Tree Search, neural network, neuralnetworks, New in Chess, new possibilities, NVIDIA, Open Access, p, program, programmer, programming, python, reinforcement learning, robotics, robots, Science, search algorithm, shogi, single system, software, TECH, TECHNOLOGY, the strongest Go player known, thindustrialrevolution, TPU, trained network, vr, webdevelopment
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