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1
Introduction
2
Quantifying Relative Scale
3
When does the lazy regime happen
4
What happens in practice
5
Is this realistic
6
In practice
7
Empirical measure
8
Dynamics
9
Questions
Description:
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.

Deep Learning - Joan Bruna NYU

Paul G. Allen School
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