Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization
Deep learning is recognized to be capable of discovering deep features for representation learning and pattern recognition without requiring elegant feature engineering techniques by taking advantages of human ingenuity and prior knowledge. Thus it has triggered enormous research activities in machi...
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Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence 2022-04, Vol.44 (4), p.1853-1868 |
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