Perceptron Perceptron (html & JavaScript) Perceptron.html Introduction Single perceptron No activation function Two inputs, two train data, bias input (optional), learning rate Hyperplane is shown Usage Start: generates two train data (p1 and p2, desired output (d): 1 and -1) with two featrues ranging [0, 1] , and resets weights Step: trains by each train data, alternately updates by w1(t+1) = w1(t) + η(d-y(t))x1(t), where y = w1x1 + w2x2 + b Step(1000): trains 1000 epochs Reset weights: resets weights to random values ranging [-0.5, 0.5] View
