1 The following neural network consists of three layer (layer 1: input layer, layer 2: hidden layer, layer3: output layer). Where x = [231]" is the input vector, the weight vectors is: -3.51 (1) = -2 2 = CZ - ) (2) = 10.5 - 1.2 0.6 Assume each unit has a bias 0 =0 (zero) The activation units is calculated by sigmoid function g(z) 1 +exp(- (where in your calculator use ex i.e. consider base 2 but not use exp) 10.3 X1 X2 X2 a. Calculate ay of the second hidden layer b. Calculate as of the output layer