‘cito': an R package for training neural networks using ‘torch'

URN to cite this document:: urn:nbn:de:bvb:355-epub-583898
DOI to cite this document:: 10.5283/epub.58389

Amesöder, Christian

; Hartig, Florian

; Pichler, Maximilian

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 06 Jun 2024 05:54

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Abstract

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 ...