Machine Learning, Gradient Descent, Hessian Matrix, Optimization, Artificial Intelligence.
holds the secrets: The Hessian matrix, containing second-order derivative information, maps out the curvature of the error landscape our model is trying to navigate. Eigenvalues and eigenvectors are your guides: Eigenvectors of the Hessian reveal the directions in which the error landscape changes