Machine Learning, Gradient Descent, Hessian Matrix, Optimization, Artificial Intelligence.
Hessian reveal the directions in which the loss function changes the most (directions of greatest curvature). Understanding the Nature of Change: Eigenvalues tell us whether the change along an eigenvector direction is an increase (positive eigenvalue, concave up) or a decrease (negative