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Tuning of data augmentation hyperparameters in deep learning to building construction image classification with small datasets
Deep Learning methods have important applications in the building construction image classification field. One challenge of this application is Convolutional Neural Networks adoption in a small datasets. This paper proposes a rigorous methodology for tuning of Data Augmentation hyperparameters in De...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005628/ https://www.ncbi.nlm.nih.gov/pubmed/35432624 http://dx.doi.org/10.1007/s13042-022-01555-1 |