Published January 8, 2018 | Version v1

Supplementary material 4 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

Annotated notebook used to define and train the clubmoss/spikemoss CNN

Files

oo_162589.pdf

Files (2.8 MB)

Name Size
md5:b557b4ccf70437bed0d26f455ba6ac53
2.8 MB Preview Download

Additional details

Related works

Is supplement to
10.3897/BDJ.5.e21139 (DOI)