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

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...

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Bibliographic Details
Main Authors: Ihsan Ullah, Andre Rios, Vaibhav Gala, Susan Mckeever
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
explainability
1D-CNN
structured data
layer-wise relevance propagation
deep learning
transparency
Online Access:https://www.mdpi.com/2076-3417/12/1/136

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https://www.mdpi.com/2076-3417/12/1/136

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