It's confusing but automatic differentiation, symbolic differentiation, and finite differences are all different approaches. "Automatic differentiation" typical

It's confusing but automatic differentiation, symbolic differentiation, and finite differences are all different approaches. "Automatic differentiation" typically refers to reverse order chain rule. Higher level libraries do really neat stuff with it. For example autograd can differentiate much of your numpy calls, even of composed of many complex functions.