Lecture

Deep Learning: Theory and Practice

In course

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Description

This lecture by Prof. Volkan Cevher explores the mathematics behind deep learning, focusing on the trade-off between model complexity and expected risk. It delves into the generalization mystery in deep learning, discussing the implicit bias of optimization algorithms and the complexity versus risk trade-off in practice. Through examples and theorems, the lecture highlights how different algorithms converge to solutions and the implications of implicit regularization in linear regression and linear models.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_nu45so0k

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

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