16 3. a) Design a single-layer perceptron with two inputs denoted by xi and x2, and one threshold corresponding to a fixed input denoted as Xo= -1. The perceptron is based on a signum activation function o, of output values +1 (for non-negative input) and -1 (for negative input). Starting with the initial weights wi= +0.5, w2= -1.3 and an initial threshold wo= -2.2, calculate all the steps and weight adjustments involved in its training, using the perceptron training algorithm and a learning rate n=0.5. The goal is to teach the network to learn the two-input AND problem. Hint: During training, in each epoch, present the input patterns in the following order: (0,0), (0,1), (1,0) and (1,1). Also, map the "false" (or 0) output of AND to class label 1 and the "true" to +1