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The perceptron
A weighted sum and a threshold make a line classifier; nudging the line after each mistake finds a separating line whenever one exists, and never settles when none does.
Neural networks
A neural network stacks weighted sums with a bend between them. This topic starts from the perceptron and its limit, adds hidden layers and activation functions, computes every gradient with backpropagation, and runs the training loop.
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