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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 1.0 MB | win-64/r-rsnns-0.4_12-r36h796a38f_0.tar.bz2  5 years and 6 months ago 1307 main cf202003
conda 1.0 MB | win-64/r-rsnns-0.4_12-r35h796a38f_0.tar.bz2  5 years and 6 months ago 1317 main cf202003
conda 1.1 MB | osx-64/r-rsnns-0.4_12-r36hf99fc2c_0.tar.bz2  5 years and 6 months ago 361 main cf202003
conda 1.1 MB | osx-64/r-rsnns-0.4_12-r35hf99fc2c_0.tar.bz2  5 years and 6 months ago 365 main cf202003
conda 1.1 MB | linux-64/r-rsnns-0.4_12-r35h0357c0b_0.tar.bz2  5 years and 6 months ago 3713 main cf202003
conda 1.1 MB | linux-64/r-rsnns-0.4_12-r36h0357c0b_0.tar.bz2  5 years and 6 months ago 3776 main cf202003

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