👉 "Gradients" is a mathematical concept used in machine learning and computer vision to describe how changes in one variable (often called "input") affect another variable (often called "output"). It's often represented by a function that takes in an input, applies a linear transformation to it, and then computes the change in output compared to the original value of the input. Gradients are particularly useful for optimization problems where we want to minimize or maximize some objective function using numerical methods.
