Applications of deep convolutional neural networks to digitized natural history collections

Abstract. Natural history collections contain data that are critical for many scientific endeavors. Recent efforts in mass digitization are generating large datasets from these collections that can provide unprecedented insight. Here, we present examples of how deep convolutional neural networks can...

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Detalles Bibliográficos
Autores principales: Schuettpelz, Eric, Frandsen, Paul B., Dikow, Rebecca B., Brown, Abel, Orli, Sylvia, Peters, Melinda, Metallo, Adam, Funk, Vicki A., Dorr, Laurence J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pensoft Publishers 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680669/
https://www.ncbi.nlm.nih.gov/pubmed/29200929
http://dx.doi.org/10.3897/BDJ.5.e21139

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680669/
https://www.ncbi.nlm.nih.gov/pubmed/29200929
http://dx.doi.org/10.3897/BDJ.5.e21139

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