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Neural networks in chess programming

Alpha Zero has revolutionised chess programming. The programme taught itself chess by playing against itself and storing its training knowledge in a neural network. All programmes have followed suit with this technique. Roger Lorenz uses a simple example to show how neural networks work and how they can be trained.

Developing an AI Chess Engine on a Weekend – a Guide for the Lazy Ones

Nowadays you can easily download chess engines that play better than Carlsen, Caruana, Keymer or Nakamura. But if you feel like it, you can also try to program them yourself. Roger Lorenz has tried it. In one weekend - and with the help of ChatGPT. | Photo: Coding robot (image created with Automatic1111 and Stable Diffusion)

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