Machine Learning: Feed-Forward Neural Nets Overview
نویسنده
چکیده
Perceptrons. A perceptron is a linear classifier of the form y = sign(σ i=1wixi+ b) where the weights w = (w1, . . . , wd) are trained using stochastic gradient descent. A perceptron is guaranteed to converge to some hyperplane separating two classes if the two classes are linearly separable (i.e., if there exists at least one hyperplane such that all points from Class 1 are on one side of it and all points from Class 2 are on the other side).
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