Problem 3) Perceptron learning: Consider the following set of data points: desired label 1 1 | input X1 X2 1 1 1 0 0 1 -1 -1 -1 0 -1 1 0 O 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 20 output 1; otherwise output 0), i.e.: (v)-J1 if v 20 10 if y