Lecture

Gradient Descent: Optimization and Regularization

Description

This lecture covers the algorithm of gradient descent for optimization, including early stopping and regularization techniques. It explains the process of finding the minimum of a function using iterative updates and implicit regularization. Examples and mathematical derivations are provided to illustrate the concepts.

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.