Multivariate calculus from first principles
Strip backpropagation down to its math and you find this module. The multivariate chain rule tells you how to differentiate a composition of functions, which is the one thing an autograd engine actually does. We start with the scalar version: how a change in one input ripples through intermediate variables to the output.
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▶ Chain Rule: Scalar Composition