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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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Detalhes bibliográficos
Publicado no:Pattern Recognit
Main Authors: Afridi, Muhammad Jamal, Ross, Arun, Shapiro, Erik M.
Formato: Artigo
Idioma:Inglês
Publicado em: 2017
Assuntos:
Acesso em linha: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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