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The Stuttgart Neural Network Simulator (SNNS) is a library containing many standard implementations of neural networks. This package wraps the SNNS functionality to make it available from within R. Using the 'RSNNS' low-level interface, all of the algorithmic functionality and flexibility of SNNS can be accessed. Furthermore, the package contains a convenient high-level interface, so that the most common neural network topologies and learning algorithms integrate seamlessly into R.

copied from cf-staging / r-rsnns

Installers

Info: This package contains files in non-standard labels.
  • linux-aarch64 v0.4_16
  • linux-ppc64le v0.4_16
  • linux-64 v0.4_16
  • osx-64 v0.4_16
  • win-64 v0.4_16

conda install

To install this package run one of the following:
conda install conda-forge::r-rsnns
conda install conda-forge/label/cf201901::r-rsnns
conda install conda-forge/label/cf202003::r-rsnns
conda install conda-forge/label/gcc7::r-rsnns

Description


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