Consider a feedforward neural network (NN) with one hidden layer which is depicted in Figure-2 and a corresponding dataset used in this NN presented in Table-3. Table-3: Dataset for the above NN The activation function in the hidden layer is sigmoid function and the activation function in the output layer is tanh function. Assume initial random weights are as follows: W11=3.5,W12=2.5,W21=3,W22=4.5, WH1=6, and WH2=7. If the Input Record-3 (X1=1, and X2=0) is applied as an input, calculate the output and corresponding error (using RMSE). (15 marks)