Convolutional Neural Networks with Specific Kernels for Computer Chess
摘要
We present the use of chess filters for the convolutional layers used in computer chess. We compare different types of blocks with and without chess filters. Our comparison uses the Leela Chess Zero (Lc0) T60 dataset to train the networks with supervised learning.