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As a disclaimer, I didn't read that page, but I can certainly explain where the derivatives come from. The backpropagation algorithm is actually a variant of the gradient descent algorithm. Think about a single function for the moment. Suppose you have a function which responds to a single input and a single weight: $f(w, x)$. We want to adjust $w$ so that ...

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