this question is not a programming assigment this question is about

about the updating connection weights in Backpropagation. This network has 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 I 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. The delta of output unit 1 and output unit 2. The updated weights between the hidden units and output units. The delta of hidden unit 1, hidden unit 2, and hidden unit 3. The updated weights between the input units and hidden units. You can use the following results from the First step of Backpropagation (Assignment 2).