Explaining Deep Learning Models for Tabular Data Using Layer-Wise Relevance Propagation

Trust and credibility in machine learning models are bolstered by the ability of a model to explain its decisions. While explainability of deep learning models is a well-known challenge, a further challenge is clarity of the explanation itself for relevant stakeholders of the model. Layer-wise Relev...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Ihsan Ullah, Andre Rios, Vaibhav Gala, Susan Mckeever
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2021-12-01
Serie:	Applied Sciences
Soggetti:	explainability 1D-CNN structured data layer-wise relevance propagation deep learning transparency
Accesso online:	https://www.mdpi.com/2076-3417/12/1/136
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!