3. Covert the classification problem into perceptron neural network model (b=3 and start w1=1 and w2=2 or any other values). X1 = [0 2], t1=1 & x2 = [1 0], t2=1 & x3 = [0 2] , t3=0 & x4=[2 0], t4=0