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: | Li, Sitan, Cheah, Chien Chern |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/172282 |
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Institution: | Nanyang Technological University |
Language: | English |
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