Deep Learning and Higher Degree F-Transforms: Interpretable Kernels Before and After Learning
One of the current trends in the deep neural network technology consists in allowing a man–machine interaction and providing an explanation of network design and learning principles. In this direction, an experience with fuzzy systems is of great support. We propose our insight that is based on the...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Atlantis Press
2020-09-01
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Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/125944627/view |