Deep Kernel and Deep Learning for Genome-Based Prediction of Single Traits in Multienvironment Breeding Trials

Deep learning (DL) is a promising method for genomic-enabled prediction. However, the implementation of DL is difficult because many hyperparameters (number of hidden layers, number of neurons, learning rate, number of epochs, batch size, etc.) need to be tuned. For this reason, deep kernel methods,...

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Detalles Bibliográficos
Autores principales: Crossa, José, Martini, Johannes W.R., Gianola, Daniel, Pérez-Rodríguez, Paulino, Jarquin, Diego, Juliana, Philomin, Montesinos-López, Osval, Cuevas, Jaime
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6913188/
https://www.ncbi.nlm.nih.gov/pubmed/31921277
http://dx.doi.org/10.3389/fgene.2019.01168

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6913188/
https://www.ncbi.nlm.nih.gov/pubmed/31921277
http://dx.doi.org/10.3389/fgene.2019.01168

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