Title: I built over the last two years a human-like neural network chess engine that tries to predict your rating from a single game. It automatically adapts to your play and tries to play like a human at your level would play, giving you a balanced game.<p>At the core I’m using an AlphaZero &#x2F; Leela Chess Zero style neural network that I have trained on 1 billion human games from the lichess.org open database. Around this network I have built a chess engine in Rust with algorithms that use the outputs from the NN to produce human-like moves at a given rating from beginner to world champion, as well as predicting the level of the opponents play.<p>I want to develop this into kind of an AI coach that you can spar certain positions against and get feedback suited for your level. Happy for any suggestions!
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