Go to content
UR Home

‘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
[img]License: Creative Commons Attribution 4.0
PDF - Published Version
(1MB)
Date of publication of this fulltext: 06 Jun 2024 05:54



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 ...

plus


Owner only: item control page
  1. Homepage UR

University Library

Publication Server

Contact:

Publishing: oa@ur.de
0941 943 -4239 or -69394

Dissertations: dissertationen@ur.de
0941 943 -3904

Research data: datahub@ur.de
0941 943 -5707

Contact persons