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Universal Consistency of Deep Convolutional Neural Networks
Work
Year: 2022
Type: article
Abstract: Compared with avid research activities of deep convolutional neural networks (DCNNs) in practice, the study of theoretical behaviors of DCNNs lags heavily behind. In particular, the universal consiste... more
Cites: 35
Cited by: 14
Related to: 10
FWCI: 2.083
Citation percentile (by year/subfield): 81.49
Open Access status: green
Grant IDS 12061160462, CityU 11308020, , 2020YFA0713900