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How do you backpropagate with a Convolutional Neural Network?
What is the chain rule?
The chain rule is a method for computing the derivative of a composite function, like the ones used in neural networks. It involves breaking down the function into smaller parts, and computing the derivative of each part with respect to the input, then multiplying the derivatives to find the overall derivative.