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README.md

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@@ -95,4 +95,12 @@ DeepLearning.scala is sponsored by [ThoughtWorks](https://www.thoughtworks.com/)
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DeepLearning.scala is heavily inspired by my colleague [@MarisaKirisame](https://github.com/MarisaKirisame). Originally, we worked together on a prototype of a deep learning framework, and eventually split our work into this project and [DeepDarkFantasy](https://github.com/ThoughtWorksInc/DeepDarkFantasy).
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Other contributors can be found at [here](https://github.com/ThoughtWorksInc/DeepLearning.scala/graphs/contributors).
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[@milessabin](https://github.com/milessabin)'s [shapeless](https://github.com/milessabin/shapeless) provides a solid foundation for type-level programming used in DeepLearning.scala.
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### Related projects
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* [Shapeless](https://github.com/milessabin/shapeless) provides a solid foundation for type-level programming used in this project.
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* [Scalaz](http://scalaz.org/) provides type classes used in this project.
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* [ThoughtWorks Each](https://github.com/ThoughtWorksInc/each) provides `async`/`await`-like syntax. You may want to use it to control your training process in an imperative style.
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* [nd4j](http://nd4j.org/) provides numerical computing used in this project.
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* [RAII.scala](https://github.com/ThoughtWorksInc/RAII.scala), [future.scala](https://github.com/ThoughtWorksInc/future.scala) and [tryt.scala](https://github.com/ThoughtWorksInc/tryt.scala) provides monadic asynchronous resource management used in this project.
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* [Import.scala](https://github.com/ThoughtWorksInc/Import.scala) is a Scala compiler plugin that enables magic imports. You may need it in those sbt project use DeepLearning.scala plugin hosted on Github Gist.
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* The unit tests of this projects are written in [ScalaTest](http://scalatest.org/) and [example.scala](https://github.com/ThoughtWorksInc/example.scala) syntax.

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