Perceptron It is a linear classifier, an algorithm for supervised learning of binary classifiers. Input(multiple x)-->Output(one y) x : input W : Weight y : output Each x has each weights. Larger w, more important x. Step function ∑W * x >=threshold(θ)-->output(y) : 1 ∑W * x output(y) : 0 Threshold(θ) can be expressed b(bias) such as Single-Layer Perceptron It can learn only linearly separable p..
