The following neural network has 3 layers. The activation function in the hidden layers is ReLu and the activation function in the output layer is sigmoid. X = y = 0 = X1 X2 W[] = = [051] (a[]) a bl] = [] [1] az [2] W1) = [0.5 bl2)=[ =( [2] [051] 1 [3] aj W[3] = [0.1, 0] b[] =[0] (a) Compute the output values of all nodes in forward propagation when the network is given the input x = 0, x2 = 2, with the desired output y = 0. All the weights are also provided above.