The following network uses Relu, TanH and softmax activations as shown below. Bias values at all nodes are 0. H's are outputs of hidden nodes. Y's are final outputs. (A) For the given input, what will be the value of the loss function? (B) With learning rate=1, what will be the value of w9, w5 and w1 in next iteration? (C) Find the weight for w9 in the next iteration, if we you use L2 regularization with value of 0.2, learning rate=1. (D) Find the value of w12 with L1 regularization with value of 0.1, learning rate=1. (Marks 1+5+1+1=8) W1= 2 W5= 3 W9-3 Y1 Target Output=0 X1 Input= 2 Hyla H2/11 W2=.5 W6= 4 W 10-6 W7=.6 W11=3 W3= 2 Y2 Target Output=1 Input=.4 X2 HR) H22 W8= 5 W4=.6 w12.8 RELUT TanH Softmax intions