Restricted Boltzmann Machine and Deep Belief Network Implementation. Uses MNIST dataset as a demo.
Java
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readme.md

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 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.

  1. 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]
  1. 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.

RBM Demo

  1. 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.

  1. 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 jake@apache.org

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.