ruby-dnn is a ruby deep learning library. This library supports full connected neural network and convolution neural network. Currently, you can get 99% accuracy with MNIST and 74% with CIFAR 10.
Add this line to your application's Gemfile:
And then execute:
Or install it yourself as:
$ gem install ruby-dnn
Currently, only simple Japanese documents are available. Please refer to examples for basic usage. If you want to know more detailed information, please refer to the source code.
After checking out the repo, run
bin/setup to install dependencies. Then, run
rake "spec" 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/unagiootoro/ruby-dnn. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.
The gem is available as open source under the terms of the MIT License.
Code of Conduct
Everyone interacting in the Dnn project’s codebases, issue trackers, chat rooms and mailing lists is expected to follow the code of conduct.