Achieving an optimal group structure in a neural architecture search
Abstract The method proposed in this letter searches for an effective group structure of group convolutions in a convolutional neural network that can improve the classification accuracy. The model's group structure is obtained using an effective differential neural architecture search. Our cod...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-09-01
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Series: | Electronics Letters |
Online Access: | https://doi.org/10.1049/ell2.12585 |