This question is not a programming assignment. We apply Backpropagation to the network with two input units, three hidden units, and two output units. The input training data to input unit is 1. The input training data to input unit 2 is 0. The target output of the output unit 1 is 1. The target output of the output unit 2 is 0. Sigmoid function is used as the activation function. The learning rate is 0.5. The weights are given as between input unit and hidden unit is 0.2 between input unit 1 and hidden unit 2 is 0.3 between input unit 1 and hidden unit 3 is 0.4 between input unit 2 and hidden unit 1 is 0.5 between input unit 2 and hidden unit 2 is 0.6 between input unit 2 and hidden unit 3 is 0.7 between hidden unit 1 and output unit 1 is 0.8 between hidden unit 2 and output unit I is 0.9 between hidden unit 3 and output unit 1 is 0.1 between hidden unit I and output unit 2 is 0.25 between hidden unit 2 and output unit 2 is 0.35 between hidden unit 3 and output unit 2 is 0.15 Show the process to find the followings. 1. The net of hidden unit I and actual output of hidden unit I. 2. The net of hidden unit 2 and actual output of hidden unit 2. 3. The net of hidden unit 3 and actual output of hidden unit 3. 4. The net of output unit and actual output of output unit I. 5. The net of output unit 2 and actual output of output unit 2