Lecture

Cross-Entropy and Regression Cost Functions

In course

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Description

This lecture covers the concept of cross-entropy for binary and multi-class classification, emphasizing the decision functions and cost functions used. It also delves into various loss functions for regression, such as quadratic, absolute, and e-insensitive costs, explaining their properties and applications.

Instructor

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Official source

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

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