Machine Learning, Gradient Descent, Hessian Matrix, Optimization, Artificial Intelligence.
eigenvalue, concave down). Saddle Points: A mix of positive and negative eigenvalues indicates a saddle point, where the loss function can be locally minimized in some directions but needs to be increased along others to find a true minimum. How This Helps Optimization Informed Updates: Knowing the