Deep Neural Networks: Optimization and Approximation

In course

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Description

This lecture covers the optimization and approximation techniques in deep neural networks, focusing on topics such as optimal control, model finding, and numerical experiments. The slides discuss concepts like rectified linear units, slack variables, and continuous piecewise linear functions.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_zosqftt6

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Ontological neighbourhood

Computer engineering

Computer networks: Local area networks, Internet protocol suite

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Information engineering

Machine learning: Artificial neural networks

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