Lecture

Statistical Learning Theory: Conclusions on Deep Learning

In course

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Description

This lecture covers the conclusions on deep learning, focusing on the maximization of neuron activity in different layers and categories using images, as well as an introduction to statistical learning theory with topics like Huelding bound and loss functions.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_8e0tsikz

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

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