Q1 (a) (1) With regard to the neural network, describe the differences between supervised leaming and unsupervised learning. (5 marks ) (11) Explain the limitations of Perceptron Learning Rule and suggest how can that limitations be overcome. (5 marks ) (6) Solve the following classification problem with the perceptron rule. Apply each input vector in order, for as many repetitions as it takes to ensure that the problem is solved. Draw a graph of the problem only after you have found a solution. (4-14-4--1-1-4-7-4--11- Set the initial weights and bias as W(O)=[ 0 0) and (0) = 0. ( 6 marks )