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On Automated Source Selection for Transfer Learning in Convolutional Neural Networks
Transfer learning, or inductive transfer, refers to the transfer of knowledge from a source task to a target task. In the context of convolutional neural networks (CNNs), transfer learning can be implemented by transplanting the learned feature layers from one CNN (derived from the source task) to i...
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| Yayımlandı: | Pattern Recognit |
|---|---|
| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2017
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6377173/ https://ncbi.nlm.nih.gov/pubmed/30774153 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patcog.2017.07.019 |
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