A follow-up to a viral blog post about applying deep learning to chess. The author addresses skepticism from Hacker News, clarifies the assumption that amateur players make near-optimal moves, examines what the neural network layers encode (finding no clear interpretable structure unlike CNNs), and references a 2008 paper by Sutskever and Nair that used convolutional neural networks to predict expert Go moves in a similar fashion.
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