Alexandre Boulanger 171ce51f46 RL4J: Use Nd4j Random instead of java.util.Random (#8282)
* Changed to use Nd4j Random instead of java.util.Random

Signed-off-by: unknown <aboulang2002@yahoo.com>

* Changed to use Nd4j.getRandom() instead of the factory

Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com>
2019-10-16 10:56:24 +09:00
2019-10-08 21:48:22 +11:00
2019-10-10 10:49:07 +03:00
2019-06-06 15:21:15 +03:00
2019-06-06 15:21:15 +03:00
2019-06-06 15:21:15 +03:00
2019-09-12 04:55:59 +03:00
2019-09-10 19:09:46 +10:00

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:

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

Description
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Readme 108 MiB
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Java 62.6%
C++ 25.3%
Cuda 4.6%
Kotlin 3.2%
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