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Heuristic hyperparameter optimization of deep learning models for genomic prediction
There is a growing interest among quantitative geneticists and animal breeders in the use of deep learning (DL) for genomic prediction. However, the performance of DL is affected by hyperparameters that are typically manually set by users. These hyperparameters do not simply specify the architecture...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495939/ https://www.ncbi.nlm.nih.gov/pubmed/33993261 http://dx.doi.org/10.1093/g3journal/jkab032 |