YoVDO

Towards Understanding the Implicit Regularization Effect of SGD

Offered By: MITCBMM via YouTube

Tags

Machine Learning Courses Neural Networks Courses Overfitting Courses Generalization Courses Stochastic Gradient Descent Courses Statistical Learning Theory Courses Implicit Regularization Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the implicit regularization effect of Stochastic Gradient Descent (SGD) in this comprehensive lecture by Pierfrancesco Beneventano from Princeton University. Delve into the intricacies of SGD's impact on machine learning models, examining how this optimization algorithm influences model performance and generalization. Gain insights into the theoretical foundations and practical implications of SGD's implicit regularization, enhancing your understanding of this crucial aspect of deep learning optimization.

Syllabus

Towards Understanding the Implicit Regularization Effect of SGD


Taught by

MITCBMM

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent