Perceptron

Implement the perceptron algorithm

Implement the perceptron algorithm whose weight update rule is given by

, where n is the learning rate parameter. Train your perceptron using the dataset in file “Data2.txt” for n in the range [0.0007, 0.0017] with a step of 0.0001. Each row in the file represents one input vector. The first 2 columns correspond to the input features (x1 and x2), while the third column corresponds to the target values (t = -1 or t = 1). Start with initial weight vector w(0)=[1 0 0] T.