Given the following neural network, use the values of the input and output of one instance with the associated weight provided in the table and the sigmoid function to find:

22. Given the following neural network, use the values of the input and output of one instance with the associated weight provided in the table and the sigmoid function to find Input Layer Node 1 Hidden Layer Output Layer 0.5 Node j 0.2Node 2 Node k-0.65 Wk Node i W6 1.0 Node 3 W Initial Weight Values for the Neural Network Shown Above Wik Wik Wi 0.2 Wii 0.1 -0.1 f (x) = Use the sigmoid function to perform the computations 1+e a, the computed input of nodes i and k Computed Input of Node b. the computed output of nodes i, j, and k Computed Output of Node c. knowing that the actual value of the output is 0.65, find error (k) and error (G) error (k)- error (i) d. find the following updated weight values using the backpropagation method (use a learning parameter 0.5) Updated Weight Values for the Neural Network Shown Above Wii W2i W3i Wik