59f1cbf0c6
* Code clarity: Extracted parts of run() into private methods Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com> * Added listener pattern to async learning Signed-off-by: unknown <aboulang2002@yahoo.com> * Merged all listeners logic Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com> * Added interface and common data to training events Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com> * Fixed missing info log file Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com> * Fixed bad merge; removed useless TrainingEvent Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com> * Removed param from training start/end event Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com> * Removed 'event' classes from the training listener Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com> * Reverted changes to QLearningDiscrete.setTarget()
Monorepo of Deeplearning4j
Welcome to the new monorepo of Deeplearning4j that contains the source code for all the following projects, in addition to the original repository of Deeplearning4j moved to deeplearning4j:
- https://github.com/eclipse/deeplearning4j/tree/master/libnd4j
- https://github.com/eclipse/deeplearning4j/tree/master/nd4j
- https://github.com/eclipse/deeplearning4j/tree/master/datavec
- https://github.com/eclipse/deeplearning4j/tree/master/arbiter
- https://github.com/eclipse/deeplearning4j/tree/master/nd4s
- https://github.com/eclipse/deeplearning4j/tree/master/gym-java-client
- https://github.com/eclipse/deeplearning4j/tree/master/rl4j
- https://github.com/eclipse/deeplearning4j/tree/master/scalnet
- https://github.com/eclipse/deeplearning4j/tree/master/pydl4j
- https://github.com/eclipse/deeplearning4j/tree/master/jumpy
- https://github.com/eclipse/deeplearning4j/tree/master/pydatavec
To build everything, we can use commands like
./change-cuda-versions.sh x.x
./change-scala-versions.sh 2.xx
./change-spark-versions.sh x
mvn clean install -Dmaven.test.skip -Dlibnd4j.cuda=x.x -Dlibnd4j.compute=xx
or
mvn -B -V -U clean install -pl '!jumpy,!pydatavec,!pydl4j' -Dlibnd4j.platform=linux-x86_64 -Dlibnd4j.chip=cuda -Dlibnd4j.cuda=9.2 -Dlibnd4j.compute=<your GPU CC> -Djavacpp.platform=linux-x86_64 -Dmaven.test.skip=true
An example of GPU "CC" or compute capability is 61 for Titan X Pascal.
Want some examples?
We have separate repository with various examples available: https://github.com/eclipse/deeplearning4j-examples
In the examples repo, you'll also find a tutorial series in Zeppelin: https://github.com/eclipse/deeplearning4j-examples/tree/master/tutorials