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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Detalhes bibliográficos
Publicado no:Biodivers Data J
Main Authors: Schuettpelz, Eric, Frandsen, Paul B., Dikow, Rebecca B., Brown, Abel, Orli, Sylvia, Peters, Melinda, Metallo, Adam, Funk, Vicki A., Dorr, Laurence J.
Formato: Artigo
Idioma:Inglês
Publicado em: Pensoft Publishers 2017
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5680669/
https://ncbi.nlm.nih.gov/pubmed/29200929
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3897/BDJ.5.e21139
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