Groups
Automatic differentiation (AD) computes exact derivatives by systematically applying the chain rule to your program, not by symbolic algebra or numerical differences.
The Jacobian matrix collects all first-order partial derivatives of a vector-valued function, describing how small input changes linearly affect each output component.