ruby-dnn is a ruby deep learning library.
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
bin
examples
lib
test
.gitignore
.travis.yml
API-Reference.ja.md
CODE_OF_CONDUCT.md
Gemfile
LIB-API-Reference.ja.md
LICENSE.txt
README.md
Rakefile
ruby-dnn.gemspec

README.md

ruby-dnn

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.

Installation

Add this line to your application's Gemfile:

gem 'ruby-dnn'

And then execute:

$ bundle

Or install it yourself as:

$ gem install ruby-dnn

Usage

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.

Development

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.

Contributing

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.

License

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.