Lecture
Cross-Entropy and Regression Cost Functions
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.
Official source
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