Assume there is a three layer neural network. The activation function is Logistic function. -4.8 0 2 5.9 5.1 4 4,6 1 3 5.2 -5.2 -3.2 -2.6 -2.7 Bias 1. Calculate the activation values for node 2, 3, and 4 when input is (1,1). (9 points) 2. Update the weight for E4,2 and E4,3 through back-propagation algorithm. Assume the training data samples are shown in the following table. (Xo and X; are input, and t is real output). (6 points) Xo X1 t 0 00 0 1 1 1 0 1 1 0