TimoMatzen/RBM: Package for fitting RBM and DBN models in R.

This is a package for training Restricted Boltzman machines, stacked Reststricted Boltzmann Machines and Deep Belief Networks on binary data. All models can be trained in a supervised manner and the package includes predict functions to get model predictions on an unseen test-set. The package also includes the ReconstructRBM function that can be used to reconstruct images with either a RBM model or a stacked RBM model (unsupervised).

install.packages("remotes")
remotes::install_github("TimoMatzen/RBM")