Multivariate calculus from first principles
A function f: Rⁿ → R takes a vector in and returns a single number. The example that drives machine learning is the loss: feed in every weight of the network, get back one number that says how badly it is doing. The whole of training is a hunt for the lowest point of this function.
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▶ Functions f: Rⁿ → R