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 1 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 1 and hidden unit 1 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 1 is 0.9 between hidden unit 3 and output unit 1 is 0.1 between hidden unit 1 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 1 and actual output of hidden unit 1. 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