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

Description Usage Arguments Value Examples

Reconstructs an input image with a trained RBM or stacked RBM.

1	ReconstructRBM(test, model, layers = 1)

`test`	A test example to reconstruct, works only with one example.
`model`	A model trained with either the RBM or StackRBM function.
`layers`	The number of layers that was used for training the StackRBM function.

A plot of the original and reconstructed image (model) side by side.

# Load MNIST data
data(MNIST)

# Fit unsupervised RBM 
mod <- RBM(MNIST$trainX, n.iter = 1000, n.hidden = 100)

# Reconstruct a training image
ReconstructRBM(MNIST$testX[6, ], model = mod)