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Contents
# 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:
```ruby
gem 'ruby-dnn'
```
And then execute:
$ bundle
Or install it yourself as:
$ gem install ruby-dnn
## Usage
TODO: Write usage instructions here
## 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](https://rubygems.org).
## Contributing
Bug reports and pull requests are welcome on GitHub at https://github.com/[USERNAME]/dnn. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the [Contributor Covenant](http://contributor-covenant.org) code of conduct.
## License
The gem is available as open source under the terms of the [MIT License](https://opensource.org/licenses/MIT).
## 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](https://github.com/[USERNAME]/dnn/blob/master/CODE_OF_CONDUCT.md).
Version data entries
25 entries across 25 versions & 1 rubygems