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I am learning about Neural Networks and back-propagation. I think I understand how the network works, in terms of input, output, hidden layers, weights, bias etc However, I still don't fully understand how to design a network to fit a problem. Ie: Say I wanted a neural net to learn how to play Draughts, how would I translate the problem into a neural net design? Cheers :)