Results for "Hessian"
Hessian
AdvancedMatrix of curvature information.
The Hessian is like a map that shows how the steepness of a hill changes as you move around on it. While the gradient tells you which way to go to climb higher, the Hessian gives you a sense of how steep the hill is in different directions. In machine learning, it helps algorithms understand how ...
Matrix of second derivatives describing local curvature of loss.
Matrix of curvature information.
Optimization using curvature information; often expensive at scale.
A narrow minimum often associated with poorer generalization.
A point where gradient is zero but is neither a max nor min; common in deep nets.
A wide basin often correlated with better generalization.
Flat high-dimensional regions slowing training.