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The following neural network consists of three layer (layer 1: input layer, layer 2: hidden layer, layer3: output layer). Where x = [2 3 1]" is the input vector, the weight vectors is: 1 -3.5] 1-2 2 (2) = 10.5 -1.2 1-2 1 10.3 0.6 Assume each unit has a bias 0 =0 (zero) The activation units is calculated by sigmoid function g(z) calculator use ex i.e. consider base 2 but not use exp) 1 +exp (-2) (where in your x1 al X2 a2 X2 a. Calculate az of the second hidden layer b. Calculate as of the output layer