94 lines
2.5 KiB
Markdown
94 lines
2.5 KiB
Markdown
# ScalNet
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ScalNet is a wrapper around Deeplearning4J emulating a [Keras](https://github.com/fchollet/keras) like API for deep learning.
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ScalNet is released under an Apache 2.0 license. By contributing code to this repository, you agree to make your contribution available under an Apache 2.0 license.
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ScalNet is STILL ALPHA and we are open sourcing this in an attempt to get feedback.
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Come in to [gitter](https://gitter.im/deeplearning4j/deeplearning4j) if you are interested in learning more.
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# Prerequisites
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* JDK 8
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* Scala 2.11.+ or 2.10.x
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* SBT and Maven
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# How to build
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ScalNet depends on Deeplearning4j and ND4J
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- [deeplearning4j and nd4j](https://github.com/eclipse/deeplearning4j)
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### sbt
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ScalNet uses sbt, but due to [resolving issues](https://nd4j.org/dependencies), you must have Maven available to copy some nd4j-native dependencies in your classpath, in order to run the examples.
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This is automatically done in `build.sbt` and you don't need to do anything besides having maven installed.
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If you use sbt in your own project, you will probably have to proceed the same way. When ScalNet will be using releases instead of snapshots, this won't be necessary anymore.
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To build, use:
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```scala
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$ sbt package
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```
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Alternatively, for some quick testing or usage in Jupyter for example, run:
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```scala
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$ sbt assembly
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```
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To obtain a JAR file with all needed dependencies.
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See the [official sbt documentation](http://www.scala-sbt.org/documentation.html) for more on how to use sbt.
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### Maven
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Althought Maven is mainly used for release management, you can use the provided pom.xml to import ScalNet as a Maven project.
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Target for scala 2.11
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```scala
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$ change-scala-versions.sh "2.11"
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$ mvn package
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```
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Target for scala 2.10
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```scala
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$ change-scala-versions.sh "2.10"
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$ mvn package
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```
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# How to use
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### sbt
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```scala
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libraryDependencies ++= "org.deeplearning4j" % "scalnet_2.11" % "0.9.2-SNAPSHOT"
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```
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### Maven
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```xml
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<dependency>
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<groupId>org.deeplearning4j</groupId>
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<artifactId>scalnet_2.11</artifactId>
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<version>0.9.2-SNAPSHOT</version>
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</dependency>
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```
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# Getting started
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ScalNet uses a Keras like API, wrapping deeplearning4j to make it more easier to start with.
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Also, since you can call Java code from Scala, you can still use everything from deeplearning4j.
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To see what ScalNet has to offer, run one of the [examples](https://github.com/deeplearning4j/ScalNet/tree/master/src/test/scala/org/deeplearning4j/scalnet/examples) it ships with.
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Please note that those examples are not state-of-the-art in any way, they're just enough to get you started.
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