Q3 Perceptrons 20 Points We apply the perceptron algorithm to learn a linear classifier for the training data plotted below, where one scalar feature z (whose numerical values are below each data point) will be used to predict a binary class variable y. Filled circles indicate the four training examples of class y=-1, and open squares indicate the three training examples of class y = +1. 1 DO The perceptron predicts class labels as (2) = T(60 +61 2), where I (r) = +1ifr > 0, and T(T) = -1ifs 0, and T(T) = -1ifs