Interpretability in neural networks towards universal consistency

In the challenge of Artificial Intelligence in processing semantically evaluable information, the application of deep learning techniques depends not only on the algorithms, but also on the principles that explain how they work. The malfunction of a machine learning system, ML, can occur due lack of...

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Bibliographic Details
Main Authors: Dionéia Motta Monte-Serrat, Carlo Cattani
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2021-06-01
Series:International Journal of Cognitive Computing in Engineering
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S266630742100005X