Deep learning and computer chess (part 1)
In this paper, a supervised learning approach for training Artificial Neural Networks (ANNs) to evaluate chess positions has been implemented. The architecture used to build the ANN model is based on the architecture mentioned in (Matthew Lai, 2015) paper [1]. The methods that are implemented aim...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/144795 |