7(45p) Suppose that we have a classification problem with four classes of input vector. Train a perceptron network to solve this problem using the perceptron learning rule. Use the following trainng set. (class 1) 5(1): [1 1],s(2):[12] with t(1)=t(2)=[11] (class 2) 5(3): [2 1], 5(4): [2 0] with 63:64): [-1 1] (class 3) 5(5):[1 2 ],s(6)=[2 1] with t'5)=t(6)=[11] (class 4) 5(7)=[1 1],s(3)=[2 2] with t'7)=t(3)= [1 I]