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- URN zum Zitieren dieses Dokuments:
- urn:nbn:de:bvb:355-epub-583898
- DOI zum Zitieren dieses Dokuments:
- 10.5283/epub.58389
Zusammenfassung
Deep neural networks (DNN) have become a central method in ecology. To build and train DNNs in deep learning (DL) applications, most users rely on one of the major deep learning frameworks, in particular PyTorch or TensorFlow. Using these frameworks, however, requires substantial experience and time. Here, we present ‘cito', a user-friendly R package for DL that allows specifying DNNs in the ...
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