Machine Learning, Neural Networks, Backpropagation, Gradient Descent.
w-12 and w-13 accordingly. So, we need to backpropagate the error all the way to the input node from the output node. So, let's say, Wij is the weight of the edge from the output of the ith node to the input of the jth node. Now, here the x is the input to every node. y is the output from every