1 Problem 3) Perceptron learning: Consider the following set of data points: input desired X1 X2 label 1 1 1 0 0 1 -1 -1 -1 0 -1 1 As the above table shows, the data points are categorized (labeled) in two groups specified by the labels "1" and "0". a) Use the perceptron learning rule to train a single neuron perceptron on the data points given above. Show all the steps in the iteration. Assume the learning rate is 1 (i.e., n = 1) and use the hard-limiter activation function (If v> 0 output 1; otherwise output 0), i.e.: i if v 20 O if v 0 output 1; otherwise output 0), i.e.: i if v 20 O if v