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).
|Maintainer||Timo Matzen <[email protected]>|
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.