Deep learning and computer chess

This report presents a chess evaluation function trained using neural networks, without a priori knowledge of chess. The neural network undergoes two phases. In the first phase, it is trained using unsupervised learning to perform feature extraction. Subsequently in the second phase it undergoes...

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書目詳細資料
主要作者: Low, Benedict Yu
其他作者: He Ying
格式: Final Year Project
語言:English
出版: Nanyang Technological University 2021
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在線閱讀:https://hdl.handle.net/10356/153244
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