Skip to content
/ RBMs Public

Trained RBMs using CD algorithm and Gibbs sampling

Notifications You must be signed in to change notification settings

monika58/RBMs

Repository files navigation

RBMs

Implemented Restricted Boltzmann machines (RBMs) using only python and numpy and trained using the Contrastive Divergence (CD) algorithm on 784 dimensional (V) binary fashion-MNIST data

Output is hidden representations for test images

learned

Also used Gibbs sampling to learn the model

samples

About

Trained RBMs using CD algorithm and Gibbs sampling

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages