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Deeplearning4J Examples

Repository of Deeplearning4J neural net examples:

  • MLP Neural Nets
  • Convolutional Neural Nets
  • Recurrent Neural Nets
  • TSNE
  • Word2Vec & GloVe
  • Anomaly Detection
  • User interface examples.

DL4J-Examples 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.


Build and Run

Use Maven to build the examples.

mvn clean package

This downloads binaries for all platforms, but we can also append -Djavacpp.platform= with android-arm, android-x86, linux-ppc64le, linux-x86_64, macosx-x86_64, or windows-x86_64 to get binaries for only one platform and produce much smaller archives.

Run the runexamples.sh script to run the examples (requires bash). It will list the examples and prompt you for the one to run. Pass the --all argument to run all of them. (Other options are shown with -h).

./runexamples.sh [-h | --help]

Documentation

For more information, check out deeplearning4j.org and its JavaDoc.

GradientsListenerExample.java in dl4j-examples/src/main/java/org/deeplearning4j/examples/userInterface uses JavaFX. If you're using Java 8 or greater, it should run as is. If you're using Java 7 or an earlier version, you should set JAVAFX_HOME to point to the root directory of the JavaFX 2.0 SDK.

Known issues with JavaFX

If you are running on JDK 1.7 or inferior, the maven-enforcer plugin will require you to set the variable JAVAFX_HOME before building. That variable should point to a directory containing jfxrt.jar, a file that is part of the JavaFX 2.0 distrbution.

Please set it to an instance of JavaFX that matches the JDK with which you are trying to use this project. Usually, the Sun JDK comes with JavaFX. However, OpenJDK does not and you may have to install OpenJFX, a free distribution of JavaFX.

Beware that your editor (e.g. IntelliJ) may not be using the JDK that is your system default (and that you may ancounter on the command line).

On IntelliJ

To run the JavaFX examples from IntelliJ, you'll have to add the jfxrt.jar as an exernal dependency of your project. Here's a screencast on how to do it: https://youtu.be/si146q7WkSY

On Ubuntu

If you are using OpenJDK, on Ubuntu 16, you can install OpenJFX with sudo apt-get install libopenjfx-java. A typical JAVAFX_HOME is then /usr/share/java/openjfx/jre/lib/ext/. If you are on Ubuntu 14, you can install OpenJFX with the following process:

  • edit /etc/apt/sources.list.d/openjdk-r-ppa-trusty.list and uncomment the line for deb-src
  • sudo apt-get update
  • sudo apt-get install libicu-dev
  • sudo aptitude build-dep libopenjfx-java
  • sudo apt-get --compile source libopenjfx-java
  • ls -1 *.deb|xargs sudo dpkg -i

On JDK 1.8

The Sun version of JDK8 still comes with its own JavaFX, so that there should be no need to configure anything particular there and the build will succeed. If using OpenJDK8, you will still have to install OpenJFX and set JAVAFX_HOME, but the maven-enforcer plugin will not catch you — the reason being that it's difficult to distinguish between OpenJDK and Sun's JDK since version 8, with both adoptiong the same Vendor ID.

If you are using OpenJDK 8, install OpenJFX and set JAVAFX_HOME as indicated above. Compile with mvn clean install -POpenJFX

Other Issues

If you notice issues, please log them, and if you want to contribute, submit a pull request. Input is welcome here.

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Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

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