The training data is given below. x1,0.2,0.1,0.8,0.3,x2,0.4,0.7,0.2,0.1,x3,0.6,0.3,0.4,0.9,yABAB From your BITS ID, use the last 4 digits divided by 10 as your bias and weights respectively. Eg: For ID=2021fp04123 then b=0.4,w1=0.1,w2=0.2 and w3=0.3. (a) Compute the output y of the perceptron for the first training example. (b) Compute the error. (c) Update the weights and bias. (d) Using the updated parameters, compute the output for the second training example