•1 min read•from Towards Data Science
Introduction to Deep Evidential Regression for Uncertainty Quantification

Machine learning models can be confident even when they shouldn't be. This article introduces Deep Evidential Regression (DER), a method that lets neural networks rapidly express what they don't know.
The post Introduction to Deep Evidential Regression for Uncertainty Quantification appeared first on Towards Data Science.
Want to read more?
Check out the full article on the original site