Transfer learning algorithm for image classification task and its convergence analysis
Theoretical analysis of transfer learning of the deep neural networks (DNN) is crucial in ensuring stability or convergence and gaining a better understanding of the networks for further development. However, most current transfer learning methods are black-box approaches that are more focused...
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Main Authors: | , |
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格式: | Conference or Workshop Item |
語言: | English |
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2023
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在線閱讀: | https://hdl.handle.net/10356/172282 |
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