Neural Networks, Gradient Descent.
function. This proportionality is the gradient vector of the cost for each layer (dC_dw2 is how a small change in layer 2 weight (w2) affects the Cost function and dC_dw1 is how a small change in layer 1 weights (w1) affects the Cost function and so on) It is a great leap forward if you can