https://github.com/tjake/rbm-dbn-mnist
Restricted Boltzmann Machine and Deep Belief Network Implementation. Uses MNIST dataset as a demo.
https://github.com/tjake/rbm-dbn-mnist
Last synced: about 1 year ago
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Restricted Boltzmann Machine and Deep Belief Network Implementation. Uses MNIST dataset as a demo.
- Host: GitHub
- URL: https://github.com/tjake/rbm-dbn-mnist
- Owner: tjake
- License: mit
- Created: 2013-02-28T04:20:36.000Z (over 13 years ago)
- Default Branch: master
- Last Pushed: 2013-03-01T13:21:37.000Z (over 13 years ago)
- Last Synced: 2025-02-27T09:41:29.714Z (over 1 year ago)
- Language: Java
- Size: 135 KB
- Stars: 193
- Watchers: 16
- Forks: 50
- Open Issues: 1
-
Metadata Files:
- Readme: readme.md
- License: LICENSE
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README
rbm-dbn-mnist
==========
Learn more about this project from this blog post:
http://tjake.github.com/blog/2013/02/18/resurgence-in-artificial-intelligence/
This project provides a implementation for a Restricted Boltzmann Machine and a Deep Belief Network
It uses the [MNIST handwritten dataset](http://yann.lecun.com/exdb/mnist/) to illistrate an example RBM and DBN.
Usage
=====
From source build the project with maven:
1. mvn deploy
This will build a single jar and download the mnist dataset.
2. java -jar target/rbm-dbn-mnist-0.0.1.jar
Runs the app. shows the usage screen
````
Usage: [rbm minst-labels.gz minst-images.gz]
[dbn minst-images.gz minst-labels.gz dbn.bin]
[gen dbn.bin]
````
3. java -jar target/rbm-dbn-mnist-0.0.1.jar rbm target/minst/train-labels-idx1-ubyte.gz target/minst/train-images-idx3-ubyte.gz
Trains a single RBM with 100 hidden nodes. Each of the hidden nodes weights are rendered alongside the test digit in blue.
4. java -jar target/rbm-dbn-mnist-0.0.1.jar dbn target/minst/train-labels-idx1-ubyte.gz target/minst/train-images-idx3-ubyte.gz /tmp/dbn.bin
Trains a Deep Belief Network made up of three RBMs. It learns to match pictures of digits with their corresponding label. It takes about 10m to train but once it's done it has ~95% accuracy rate. The trained DBN is saved to a file.
5. java -jar target/rbm-dbn-mnist-0.0.1.jar gen /tmp/dbn.bin
Takes the trained DBN from step 4. and reverses the flow, generating a visual image of a digit from a digit label.
License
=======
Copyright 2013 T Jake Luciani
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the 'Software'), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.