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reasonable and compute-able range. (sigmoid for 0–1, tanh for -1–1, ReLU for 0 OR 1, etc.). This is why we attach an activation function at the end of the perceptron. When we put a bunch of perceptrons together, we get something that resembles the beginnings of a neural network! These perceptrons