Machine Learning, Gradient Descent, Hessian Matrix, Optimization, Artificial Intelligence.
(concave up). And this logic holds for any higher dimension of the loss function as well- not just 2-dimensions. Grand Summary So let’s summarize how eigenvalues and eigenvectors of the Hessian matrix aid in minimizing the loss function: Identifying Directions of Change: The eigenvectors of the