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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
Type Size Name Uploaded Downloads Labels
conda 1.1 MB | win-64/r-rsnns-0.4_13-r41ha856d6a_0.tar.bz2  3 years and 7 months ago 736 main
conda 1.1 MB | win-64/r-rsnns-0.4_13-r40ha856d6a_0.tar.bz2  3 years and 7 months ago 741 main
conda 1.1 MB | osx-64/r-rsnns-0.4_13-r41h9951f98_0.tar.bz2  3 years and 7 months ago 95 main
conda 1.1 MB | osx-64/r-rsnns-0.4_13-r40h9951f98_0.tar.bz2  3 years and 7 months ago 96 main
conda 1.1 MB | linux-64/r-rsnns-0.4_13-r41h03ef668_0.tar.bz2  3 years and 7 months ago 2318 main
conda 1.2 MB | linux-64/r-rsnns-0.4_13-r40h03ef668_0.tar.bz2  3 years and 7 months ago 2334 main

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