Lecture

Deep Learning: Generalization and Optimization

In course

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Description

This lecture explores the challenges and advantages of deep learning, focusing on the curse of dimensionality, bad minima in the loss landscape, and over-parametrization. It discusses the transition from fully connected networks to convolutional neural networks, emphasizing the hierarchical representation of data and the impact of network width on the loss landscape.

Instructors (7)

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Official source

https://mediaspace.epfl.ch/media/0_064z4gnb

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

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