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Are the linear model and the perceptron related?
Are the linear model and the perceptron, a single-layer NS, connected somehow? For example, is a linear regression problem similar to building a perceptron?
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In this sense, a single-layer NN is a combination of linear algorithms, but always with a nonlinear activation function www.ccas.ru/voron/download/NeuralNets.pdf In general, read /
look
at Vorontsov, he has good lectures on this topic .
understandable, it seems to me:
www.machinelearning.ru/wiki/images/c/c2/Voron-ML-N...
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