Consider the following set of data points: input desired label 1 1 1 1 0 1 0 1 0 -1 -1 0 -1 0 0 -1 1 0 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 (ie., n = 1) and use the hard-limiter activation function (If v 20 output 1; otherwise output 0), i.e.: A(v) = {0 [1 if v0 if v