Lecture
Gradient Descent Method
Description
This lecture covers the Gradient Descent method, starting with the determination of a descent direction and the update rule. It explains smoothness in functions and the concept of b-smoothness. The lecture also discusses the intuition behind optimization steps and provides proofs related to convexity and convergence.
This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.
Watch on MediaspaceOfficial source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.