Skip to main content

Tensorflow implementations of the Restricted Boltzmann Machine family of models

Project description

# xRBM Library Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow

Note: xRBM is not released yet. Use at your own risk!

## Feedback, Bugs, and Questions For any questions, feedback, and bug reports, please use the [Github Issues](https://github.com/omimo/xRBM/issues).

## Credits Created by [Omid Alemi](https://omid.al/projects/)

## License This code is available under the [MIT license](http://opensource.org/licenses/MIT).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

xRBM-0.1.1-py2.py3-none-any.whl (16.7 kB view details)

Uploaded Python 2Python 3

File details

Details for the file xRBM-0.1.1-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for xRBM-0.1.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 1a5e73f6bef44d19f7cff402061067071dc9eefb100e34c5637a6a1e0213c29f
MD5 c0ad6d4791c3b45b3090716bd1b60b36
BLAKE2b-256 d47801167a876e4ca2d6162c71a0ed830f23ee2ad2b1d6efca8f32eefc391dca

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page