Finding the input features that reduce the entropy of a neural network’s prediction
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DOI: 10.1007/s10489-024-05277-5
Abstract: In deep learning-based image classification, the entropy of a neural network’s output is often taken as a measure of its uncertainty. We introduce an explainability method that identifies those features in the input that impact… read more here.
Keywords: finding input; explainability; prediction; neural network ... See more keywords