Machine Learning, Gradient Descent, Hessian Matrix, Optimization, Artificial Intelligence.
The Hessian? Well, the Hessian matrix, denoted by H(f), captures the curvature of a scalar field (a function of multiple variables) at a specific point. It’s a square matrix containing all the second-order partial derivative information: H(f) = [ fxx fxy ] [ fyx fyy ] where: fxx, fyy are the