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 .