A Survey on Neural Network Interpretability

Along with the great success of deep neural networks, there is also growing concern about their black-box nature. The interpretability issue affects people's trust on deep learning systems. It is also related to many ethical problems, e.g., algorithmic discrimination. Moreover, interpretability...

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Bibliographic Details

Published in:	IEEE transactions on emerging topics in computational intelligence Vol. 5; no. 5; pp. 726 - 742
Main Authors:	Zhang, Yu, Tino, Peter, Leonardis, Ales, Tang, Ke
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.10.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Artificial neural networks Decision trees Deep learning inter-pretability Machine learning Neural networks Reliability survey Task analysis Taxonomy Training
ISSN:	2471-285X
Online Access:	Get full text
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