Machine Learning, Gradient Descent, Hessian Matrix, Optimization, Artificial Intelligence.
landscape. This can lead to faster convergence and better stability near the minima. 3. Avoiding Saddle Points: Recognizing saddle points is crucial. Techniques exist to perturb the updates when a saddle point is detected, helping the model escape and continue its search for a true minimum. In