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About Deepchess: End-To-End Deep Neural Network For Automatic Learning in Chess
DeepChess is an end-to-end deep neural network trained to evaluate chess positions and select the more favorable position of two given positions, without any prior chess knowledge. It is trained on millions of chess games to compare positions using an autoencoder that extracts high-level features from positions. DeepChess achieves grandmaster-level chess playing ability, making it the first machine learning method to do so from scratch without manual feature engineering.
Detailed Information
| Author: | ['Yash Budukh'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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