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Alcoholism Identification Based on an AlexNet Transfer Learning Model
Aim: This paper proposes a novel alcoholism identification approach that can assist radiologists in patient diagnosis. Method: AlexNet was used as the basic transfer learning model. The global learning rate was small, at 10(−4), and the iteration epoch number was at 10. The learning rate factor of r...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470295/ https://www.ncbi.nlm.nih.gov/pubmed/31031657 http://dx.doi.org/10.3389/fpsyt.2019.00205 |