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Improved transfer learning using textural features conflation and dynamically fine-tuned layers
Transfer learning involves using previously learnt knowledge of a model task in addressing another task. However, this process works well when the tasks are closely related. It is, therefore, important to select data points that are closely relevant to the previous task and fine-tune the suitable pr...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557498/ https://www.ncbi.nlm.nih.gov/pubmed/37810335 http://dx.doi.org/10.7717/peerj-cs.1601 |