QUESTION 2 (20 marks) Consider the Multilayer Feed-forward neural network in Figure Q2 with the following input xl...x3, weights (Wj and Wk, hidden and output weights respectively) learning rate and activation function for training. Hidden Layer Output Input X1=1 O Wj1 Wk1 X2=0 O Wkn X3=1 Win Figure Q2 05 -0.5 0.75 0.5 Wi-lo. 3 0.5 0.5 -0.5 0.751 Wkr 10.5 0.3 0.51 T-(0.75), learning rate=0.7, 9 (1) 1+e? (1)' = (I(1-1) Assume that the neurons have a Sigmoid activation function and Target, = 0.75, a. Perform a forward phase on the network. b. For the backward phase with weight adjustment, compute the Output error 8 c. Compute the forward phase for the second iteration (5 marks) (10 marks) (5marks) QUESTION 2 (20 marks) Consider the Multilayer Feed-forward neural network in Figure Q2 with the following input xl...x3, weights (Wj and Wk, hidden and output weights respectively) learning rate and activation function for training. Hidden Layer Output Input X1=1 O Wj1 Wk1 X2=0 O Wkn X3=1 Win Figure Q2 05 -0.5 0.75 0.5 Wi-lo. 3 0.5 0.5 -0.5 0.751 Wkr 10.5 0.3 0.51 T-(0.75), learning rate=0.7, 9 (1) 1+e? (1)' = (I(1-1) Assume that the neurons have a Sigmoid activation function and Target, = 0.75, a. Perform a forward phase on the network. b. For the backward phase with weight adjustment, compute the Output error 8 c. Compute the forward phase for the second iteration (5 marks) (10 marks) (5marks)