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pro vyhledávání: '"FReLU"'
Rectified linear unit (ReLU) is a widely used activation function for deep convolutional neural networks. However, because of the zero-hard rectification, ReLU networks miss the benefits from negative values. In this paper, we propose a novel activat
Externí odkaz:
http://arxiv.org/abs/1706.08098
Autor:
Qiming Li, Luoying Qiu
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 3, Pp 3652-3667 (2024)
In daily life, snail classification is an important mean to ensure food safety and prevent the occurrence of situations that toxic snails are mistakenly consumed. However, the current methods for snail classification are mostly based on manual labor,
Externí odkaz:
https://doaj.org/article/c33b687a07b643369e5e3c9b48aa3f23
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10640 (2024)
It is of great significance to effectively identify the flame-burning state of cement rotary kilns to optimize the calcination process and ensure the quality of cement. However, high-temperature and smoke-filled environments bring about difficulties
Externí odkaz:
https://doaj.org/article/2a2375b47ac04273b111316f3f5a8725
Publikováno v:
Journal of Nanjing Agricultural University / Nanjuing Nongye Daxue Xuebao. Sep2024, Vol. 47 Issue 5, p1000-1008. 9p.
Autor:
Hu, Lei1 (AUTHOR) 202141600066@jxnu.edu.cn, Zhou, Xun1 (AUTHOR), Ruan, Jiachen1 (AUTHOR), Li, Supeng1 (AUTHOR)
Publikováno v:
Remote Sensing. Mar2024, Vol. 16 Issue 6, p1036. 22p.
Publikováno v:
ICPR
Rectified linear unit (ReLU) is a widely used activation function for deep convolutional neural networks. However, because of the zero-hard rectification, ReLU networks miss the benefits from negative values. In this paper, we propose a novel activat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bce7fb2a69849226f37d89b05c9a891
https://doi.org/10.1109/icpr.2018.8546022
https://doi.org/10.1109/icpr.2018.8546022
Publikováno v:
Journal of Computer Engineering & Applications; 11/15/2024, Vol. 60 Issue 22, p209-218, 10p
Conference
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Autor:
Li, Jianfeng1 (AUTHOR) lijianfeng@hit.edu.cn, Huang, Zhenghong1 (AUTHOR), Wang, Yongling1 (AUTHOR), Luo, Qinghua1 (AUTHOR)
Publikováno v:
Remote Sensing. Sep2022, Vol. 14 Issue 17, p4163. 14p.
Akademický článek
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