Applications of deep convolutional neural networks to digitized natural history collections.

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Title: Applications of deep convolutional neural networks to digitized natural history collections.
Authors: Schuettpelz E; National Museum of Natural History, Smithsonian Institution, Washington, DC, United States of America., Frandsen PB; Office of the Chief Information Officer, Smithsonian Institution, Washington, DC, United States of America., Dikow RB; Office of the Chief Information Officer, Smithsonian Institution, Washington, DC, United States of America., Brown A; NVIDIA, Santa Clara, CA, United States of America., Orli S; National Museum of Natural History, Smithsonian Institution, Washington, DC, United States of America., Peters M; National Museum of Natural History, Smithsonian Institution, Washington, DC, United States of America., Metallo A; Office of the Chief Information Officer, Smithsonian Institution, Washington, DC, United States of America., Funk VA; National Museum of Natural History, Smithsonian Institution, Washington, DC, United States of America., Dorr LJ; National Museum of Natural History, Smithsonian Institution, Washington, DC, United States of America.
Source: Biodiversity data journal [Biodivers Data J] 2017 Nov 02 (5), pp. e21139. Date of Electronic Publication: 2017 Nov 02 (Print Publication: 2017).
Publication Type: Journal Article
Journal Info: Publisher: Pensoft Publishers Country of Publication: Bulgaria NLM ID: 101619899 Publication Model: eCollection Cited Medium: Print ISSN: 1314-2828 (Print) Linking ISSN: 13142828 NLM ISO Abbreviation: Biodivers Data J Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Schuettpelz+E%22">Schuettpelz E</searchLink>; National Museum of Natural History, Smithsonian Institution, Washington, DC, United States of America.<br /><searchLink fieldCode="AU" term="%22Frandsen+PB%22">Frandsen PB</searchLink>; Office of the Chief Information Officer, Smithsonian Institution, Washington, DC, United States of America.<br /><searchLink fieldCode="AU" term="%22Dikow+RB%22">Dikow RB</searchLink>; Office of the Chief Information Officer, Smithsonian Institution, Washington, DC, United States of America.<br /><searchLink fieldCode="AU" term="%22Brown+A%22">Brown A</searchLink>; NVIDIA, Santa Clara, CA, United States of America.<br /><searchLink fieldCode="AU" term="%22Orli+S%22">Orli S</searchLink>; National Museum of Natural History, Smithsonian Institution, Washington, DC, United States of America.<br /><searchLink fieldCode="AU" term="%22Peters+M%22">Peters M</searchLink>; National Museum of Natural History, Smithsonian Institution, Washington, DC, United States of America.<br /><searchLink fieldCode="AU" term="%22Metallo+A%22">Metallo A</searchLink>; Office of the Chief Information Officer, Smithsonian Institution, Washington, DC, United States of America.<br /><searchLink fieldCode="AU" term="%22Funk+VA%22">Funk VA</searchLink>; National Museum of Natural History, Smithsonian Institution, Washington, DC, United States of America.<br /><searchLink fieldCode="AU" term="%22Dorr+LJ%22">Dorr LJ</searchLink>; National Museum of Natural History, Smithsonian Institution, Washington, DC, United States of America.
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  Data: <searchLink fieldCode="JN" term="%22101619899%22">Biodiversity data journal</searchLink> [Biodivers Data J] 2017 Nov 02 (5), pp. e21139. <i>Date of Electronic Publication: </i>2017 Nov 02 (<i>Print Publication: </i>2017).
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              Text: 2017 Nov 02
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