Explore the intricacies of deep learning in this comprehensive lecture by Joan Bruna from NYU. Delve into topics such as quantifying relative scale, the lazy regime, practical applications, and empirical measurements. Gain insights into the dynamics of deep learning systems and participate in a thought-provoking Q&A session to enhance your understanding of this cutting-edge field.
Overview
Syllabus
Introduction
Quantifying Relative Scale
When does the lazy regime happen
What happens in practice
Is this realistic
In practice
Empirical measure
Dynamics
Questions
Taught by
Paul G. Allen School
