Clarify related libraries mentioned in #226

README.md

@@ -98,7 +98,8 @@ Other contributors can be found at [here](https://github.com/ThoughtWorksInc/Dee
  * [Shapeless](https://github.com/milessabin/shapeless) provides a solid foundation for type-level programming used in DeepLearning.scala.
  * [Scalaz](http://scalaz.org/) and [Algebra](http://typelevel.org/algebra/) provides type classes used in DeepLearning.scala.
  * [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.
- * [nd4j](http://nd4j.org/) provides numerical computing used in DeepLearning.scala.
+ * [nd4j](http://nd4j.org/) provides numerical computing used in DeepLearning.scala 2.0.
+ * [Compute.scala](https://github.com/ThoughtWorksInc/Compute.scala/) provides numerical computing used in DeepLearning.scala 3.0.
  * [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 DeepLearning.scala.
  * Plugins of DeepLearning.scala are based on [Factory](https://javadoc.io/page/com.thoughtworks.feature/factory_2.11/latest/com/thoughtworks/feature/Factory.html) and other dependent type classes in [feature.scala](https://github.com/ThoughtWorksInc/feature.scala).
  * [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.