Machine Learning, Gradient Descent, Hessian Matrix, Optimization, Artificial Intelligence.
directions of greatest change allows optimizers to make more intelligent updates to the model’s parameters. Instead of blindly following the gradient, we can move with a better sense of the landscape’s shape. This picture illustrates the optimization. The descent (shown in blue) is in the opposite