Applications of deep convolutional neural networks to digitized natural history collections
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 be applie...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Pensoft Publishers
2017-11-01
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| Series: | Biodiversity Data Journal |
| Subjects: | |
| Online Access: | https://bdj.pensoft.net/articles.php?id=21139 |