X = Lj=1 e2j' where K is the number of neurons at the exit. Question 2: If the input vector is given to the artificial neural network given below, the neural network predicts which class this example belongs to? The weights of the neural network are given below. Sigmoid activation function is used in the hidden layer, and Softmax activation function is used in the output layer. x1 = 0.1 x2 = 0.2 (Weights vector connected to neuron Wx= x, Wxy = connection weight from neuron x to y neuron) Sigmoid (z) = 1/(1 + exp (-2)) Softmax (zi) = ezi CLASS A 01 CLASS B 02 5 CLASS C 03 W1 = w21) = (0:4), W2 = (W221 = [0: 4) , W3 = w13] Lw23 W4= [w14] w24 = Lw34] [0.121 0.22 0.3 [w15 W5 = w25 Lw35) [0.431 0.23 LO. 14) ? [w16] [0.321 W6 = w26 = 0.65 Lw36] L0.87 1