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[行业软件]Fritz 19.17 Multilingual 完美激活 [复制链接]

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离线缓缓清风

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离线falvp

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谢谢分享!!!
离线wer234556677

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长安一片月:[表情]  [表情]  (2020-07-20 14:09) 

非常感谢分享
离线akiloveme

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离线冰冷水星

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离线deepfree

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要看看的啊
离线chenywinner

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只看该作者 16 发表于: 2025-02-28 11:50:15

Nobody had expected that a cooperative effort by chess developers would soon make this technology generally available. The Open-Source- Project LCZero began to retrace the trail blazed by Google and in the meantime has acquired considerable strength. Suddenly a chess engine was available whose different analysis results provided new ideas on all fronts. LCZero too follows the Google philosophy, that the neural network only learns from games played against itself. The idea soon came to use our existing base of hundreds of thousands of good grandmaster games to shorten this learning process. This approach was followed logically by our longserving technical editor Albert Silver and based on the LCZero technology he trained a neural network for a whole year with GM games.

The result is so convincing that we are now publishing it as “Fat Fritz” along with Fritz17. As things stand, Fat Fritz defeats in a direct comparison all traditional chess programs and even LCZero. The moves suggested in analysis are often extremely human and planned. With a painfully practical limitation: Fat Fritz needs (like LCZero) a very high performance Nvidia graphics card (“GPU”) in order to achieve its full playing strength. Nevertheless, here for the rst time in many years we can record a real breakthrough in chess programming. Fat Fritz and LCZero are already beginning to change opening theory.

Methodical opening training
Every average human brain is light years ahead of neural networks when it comes to mastering everyday situations. However, it is in some ways tiresome imprinting on one’s own neural network knowledge about opening variations. Therefore Fritz 17 has new functions to offer to considerably simplify the constructing, administration and above all the transfer to memory of an opening repertoire. What use is the finest variation tree if one can’t remember it? Fritz 17 introduces a repertoire administration which is not based on whole variations but on moves. You decide on a move: “at’s the one I want to play myself ” and thereupon the whole variation is taken over into your repertoire. The advantage: with some decisions and a few clicks you can set up a usea