Machine Learning, Neural Networks, Backpropagation, Gradient Descent.
change in error for a change in input for node 5 and node 4. Once we obtain the change with the input we can easily calculate the change in error with the change in weights of the edges incident on that input using the same method we used for W56. Here I am directly writing the result. These are