Published January 8, 2018
| Version v1
Dataset
Open
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
Authors/Creators
- 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.
Files
Files
(17.8 MB)
| Name | Size | Download all |
|---|---|---|
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md5:998cf7e6bff915bae4d4d8a77ea973ed
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17.8 MB | Download |
Additional details
Related works
- Is supplement to
- 10.3897/BDJ.5.e21139 (DOI)