Uncertainty-Wizard: Fast and User-Friendly Neural Network Uncertainty Quantification [report]

Michael Weiss, Paolo Tonella
2021 Zenodo  
Uncertainty and confidence have been shown to be useful metrics in a wide variety of techniques proposed for deep learning testing, including test data selection and system supervision. We present Uncertainty-Wizard, a tool that allows to quantify such uncertainty and confidence in artificial neural networks. It is built on top of the industry-leading tf.keras deep learning API and it provides a near-transparent and easy to understand interface. At the same time, it includes major performance
more » ... timizations that we benchmarked on two different machines and different configurations.
doi:10.5281/zenodo.5055751 fatcat:fzzgbxjzhzca7aduxrtpddl2hi