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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Veröffentlicht in:Biodivers Data J
Hauptverfasser: Schuettpelz, Eric, Frandsen, Paul B., Dikow, Rebecca B., Brown, Abel, Orli, Sylvia, Peters, Melinda, Metallo, Adam, Funk, Vicki A., Dorr, Laurence J.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Pensoft Publishers 2017
Schlagworte:
Research Article
Online Zugang: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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