Published January 8, 2018 | Version v1

Supplementary material 1 from: Schuettpelz E, Frandsen P, Dikow R, Brown A, Orli S, Peters M, Metallo A, Funk V, Dorr L (2017) Applications of deep convolutional neural networks to digitized natural history collections. Biodiversity Data Journal 5: e21139. https://doi.org/10.3897/BDJ.5.e21139

  • 1. National Museum of Natural History, Smithsonian Institution, Washington, DC, United States of America
  • 2. Office of the Chief Information Officer, Smithsonian Institution, Washington, DC, United States of America
  • 3. NVIDIA, Santa Clara, CA, United States of America

Description

Notebook used to define and train the unstained/stained CNN.

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md5:998cf7e6bff915bae4d4d8a77ea973ed
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10.3897/BDJ.5.e21139 (DOI)