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of 47
pro vyhledávání: '"Fang, Zhiying"'
Deep learning models have been widely applied in various aspects of daily life. Many variant models based on deep learning structures have achieved even better performances. Attention-based architectures have become almost ubiquitous in deep learning
Externí odkaz:
http://arxiv.org/abs/2202.12166
Autor:
Fang, Zhiying, Cheng, Guang
Convolutional neural networks have shown impressive abilities in many applications, especially those related to the classification tasks. However, for the regression problem, the abilities of convolutional structures have not been fully understood, a
Externí odkaz:
http://arxiv.org/abs/2202.12119
Publikováno v:
In Neural Networks June 2024 174
Deep learning based on deep neural networks of various structures and architectures has been powerful in many practical applications, but it lacks enough theoretical verifications. In this paper, we consider a family of deep convolutional neural netw
Externí odkaz:
http://arxiv.org/abs/2007.14285
An intriguing phenomenon observed during training neural networks is the spectral bias, which states that neural networks are biased towards learning less complex functions. The priority of learning functions with low complexity might be at the core
Externí odkaz:
http://arxiv.org/abs/1912.01198
Publikováno v:
In Chemical Engineering Science 15 March 2022 250
Publikováno v:
In Journal of Complexity February 2020 56
Akademický článek
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Publikováno v:
In Scientia Horticulturae 14 April 2017 218:132-138
Autor:
Zhao, Jun, Ni, Tian, Li, Jing, Lu, Qiang, Fang, Zhiying, Huang, Qiwei, Zhang, Ruifu, Li, Rong, Shen, Biao, Shen, Qirong
Publikováno v:
In Applied Soil Ecology March 2016 99:1-12