Design the following classification problem with the perceptron learning rule. Apply each input vector in order, for as many repetitions as it takes to ensure that the problem is solved. If the problem cannot be solved until SIX (6) updates of weight and bias, then you may stop. You are required to apply hard limit function as the activation function. The activation function input/output correlation is shown in Figure Q2. To solve this problem, you may choose your own initial weight and bias. {P1 = [1] .t2 = 0}{pz = [_],t2 = 1}{P= = (-32). t;=0} = = = = = a +1 n 0 -1 Figure Q2