This library provides objects and algorithms for designing, processing and training Artificial Neural Networks in Ruby.

Add this line to your application's Gemfile:

gem 'rann'

And then execute:

$ bundle

Or install it yourself as:

$ gem install rann

See examples/

To run an example:

git clone https://github.com/mikecmpbll/rann.git
cd rann
bin/setup
ruby examples/xor.rb

So much.

• Matrix calculations (WIP)
• Convenience methods for setting up standard network topologies, crucially, layers (WIP)
• Batch normalization/drop out/early stopping (WIP, dep. on matrix)
• Hyperparameter optimisation
• Other adaptive learning rate algorithms (Adadelta, Adam, etc?)
• Explore matrix operations and other ways to optimise performance of algorithms
• RPROP?
• More examples
• Tests

After checking out the repo, run bin/setup to install dependencies. Then, run rake test to run the tests. You can also run bin/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.

Bug reports and pull requests are welcome on GitHub at https://github.com/mikecmpbll/rann.