Go to file
Yurii 70bd925abd - write 2 versions of new lstmLayer: one is based on own code, second uses mkl dnn api 2019-10-17 20:44:52 +03:00
.github Update contributing and issue/PR templates (#7934) 2019-06-22 16:21:27 +10:00
arbiter Update links to eclipse repos (#252) 2019-09-10 19:09:46 +10:00
datavec Update links to eclipse repos (#252) 2019-09-10 19:09:46 +10:00
deeplearning4j Fixed shape for muli 2019-10-16 12:59:25 +03:00
docs Remove old datavec.spark.version tag (#8232) 2019-09-12 23:43:01 +10:00
gym-java-client Update links to eclipse repos (#252) 2019-09-10 19:09:46 +10:00
jumpy Update links to eclipse repos (#252) 2019-09-10 19:09:46 +10:00
libnd4j - write 2 versions of new lstmLayer: one is based on own code, second uses mkl dnn api 2019-10-17 20:44:52 +03:00
nd4j TF names fixed. 2019-10-16 19:50:18 +03:00
nd4s Minor fix 2019-10-10 10:49:07 +03:00
pydatavec Update links to eclipse repos (#252) 2019-09-10 19:09:46 +10:00
pydl4j Fix backend dependencies for tests (#189) 2019-08-29 12:54:48 +09:00
rl4j RL4J: Extract TD Target calculations (StandardDQN and DoubleDQN) (#8267) 2019-10-09 09:14:47 +09:00
scalnet Update links to eclipse repos (#252) 2019-09-10 19:09:46 +10:00
.gitignore Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
CONTRIBUTING.md Update links to eclipse repos (#252) 2019-09-10 19:09:46 +10:00
Jenkinsfile Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
LICENSE Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
README.md Update links to eclipse repos (#252) 2019-09-10 19:09:46 +10:00
change-cuda-versions.sh Update dependencies to just released JavaCPP and JavaCV 1.5.1 (#8004) 2019-07-14 21:07:33 +03:00
change-scala-versions.sh Version upgrades (#199) 2019-08-30 14:35:27 +10:00
perform-release.sh Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
pom.xml few more mkldnn dependencies removed 2019-09-12 04:55:59 +03:00

README.md

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