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).
Package details |
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Author | Timo Matzen |
Maintainer | Timo Matzen <timomatzen87@gmail.com> |
License | MIT |
Version | 0.0.0.9000 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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