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Signed-off-by: eraly <[email protected]>
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CONTRIBUTORS.md

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# Contributing to dl4j-examples
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Thanks for your interest in Deeplearning4j's examples. Our goal is to bring fast, open-source deep learning to all JVM-based communities.
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## Getting Started
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Here are Deeplearning4j's [open issues are here](https://github.com/eclipse/deeplearning4j/issues). In time, we'll tag issues that would make a good first pull request for new contributors. An easy way to get started helping the project is to *file an issue*. You can do that on the Deeplearning4j issues page by clicking on the green button at the right. Issues can include bugs to fix, features to add, or documentation that looks outdated.
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For some tips on contributing to open source, this [post is helpful](http://blog.smartbear.com/programming/14-ways-to-contribute-to-open-source-without-being-a-programming-genius-or-a-rock-star/).
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## Contributions
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Deeplearning4j welcomes contributions from everyone.
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Contributions to Deeplearning4j should be made in the form of GitHub pull requests. Each pull request will
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be reviewed by a core contributor (someone with permission to land patches) and either landed in the
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main tree or given feedback for changes that would be required.
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## Pull Request Checklist
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- Branch from the master branch and, if needed, rebase to the current master
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branch before submitting your pull request. If it doesn't merge cleanly with
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master you may be asked to rebase your changes.
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- Commits should be as small as possible, while ensuring that each commit is
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correct independently (i.e., each commit should compile and pass tests).
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- Don't put submodule updates in your pull request unless they are to landed
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commits.
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- If your patch is not getting reviewed or you need a specific person to review
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it, you can @-reply a reviewer asking for a review in the pull request or a
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comment.
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- Add tests relevant to the fixed bug or new feature.
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## Conduct & License
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We follow the [Rust Code of Conduct](http://www.rust-lang.org/conduct.html).
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All code in this repository is released under the Apache Software Foundation License, 2.0, and by contributing to this repository, you agree to release your contribution under that same license.

README.md

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- [arbiter-examples](arbiter-examples/README.md)
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This project contains a set of examples that demonstrate useage of the Arbiter library for hyperparameter tuning of Deeplearning4J neural networks.
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## Feedback
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While these set of examples don't cover all the functionality available in DL4J the intent is that it will cover the functionality required for most users - beginners and advanced. File an issue [here](https://github.com/eclipse/deeplearning4j-examples/issues) if you have feedback. We **love** hearing from you. We are also available via our [discourse community channel](https://community.konduit.ai/t/welcome-to-discourse/7) for questions. Cheers!
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## Feedback & Contributions
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While these set of examples don't cover all the features available in DL4J the intent is to cover functionality required for most users - beginners and advanced. File an issue [here](https://github.com/eclipse/deeplearning4j-examples/issues) if you have feedback or feature requests that are not covered here. We are also available via our [discourse community channel](https://community.konduit.ai/t/welcome-to-discourse/7) for questions.
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We welcome contributions from the community. More information can be found [here](CONTRIBUTORS.md)
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We **love** hearing from you. Cheers!

arbiter-examples/pom.xml

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<groupId>org.deeplearning4j</groupId>
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<artifactId>examples-arbiter</artifactId>
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<version>1.0.0-beta6</version>
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<version>1.0.0-beta7</version>
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<name>Arbiter Examples</name>
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<description>Working with Arbiter</description>
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<properties>
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<dl4j-master.version>1.0.0-SNAPSHOT</dl4j-master.version>
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<dl4j-master.version>1.0.0-beta7</dl4j-master.version>
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<!-- Change the nd4j.backend property to nd4j-cuda-X-platform to use CUDA GPUs -->
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<!-- <nd4j.backend>nd4j-cuda-10.2-platform</nd4j.backend> -->
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<nd4j.backend>nd4j-native</nd4j.backend>
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<logback.version>1.1.7</logback.version>
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</properties>
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<!-- Modified for using SNAPSHOT versions - added repositories section -->
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<repositories>
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<repository>
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<id>snapshots-repo</id>
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<url>https://oss.sonatype.org/content/repositories/snapshots</url>
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<releases>
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<enabled>false</enabled>
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</releases>
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<snapshots>
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<enabled>true</enabled>
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<updatePolicy>daily</updatePolicy> <!-- Optional, update daily -->
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</snapshots>
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</repository>
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</repositories>
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<dependencies>
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<dependency>
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<groupId>org.nd4j</groupId>

cuda-specific-examples/pom.xml

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<modelVersion>4.0.0</modelVersion>
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<groupId>org.deeplearning4j</groupId>
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<artifactId>dl4j-cuda-specific-examples</artifactId>
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<version>1.0.0-beta6</version>
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<version>1.0.0-beta7</version>
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<name>DeepLearning4j CUDA special examples</name>
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<properties>
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<dl4j-master.version>1.0.0-SNAPSHOT</dl4j-master.version>
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<dl4j-master.version>1.0.0-beta7</dl4j-master.version>
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<nd4j.backend>nd4j-cuda-10.2</nd4j.backend>
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<java.version>1.8</java.version>
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<exec-maven-plugin.version>1.4.0</exec-maven-plugin.version>
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<logback.version>1.1.7</logback.version>
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</properties>
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<repositories>
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<repository>
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<id>snapshots-repo</id>
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<url>https://oss.sonatype.org/content/repositories/snapshots</url>
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<releases>
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<enabled>false</enabled>
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</releases>
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<snapshots>
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<enabled>true</enabled>
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</snapshots>
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</repository>
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</repositories>
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<distributionManagement>
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<snapshotRepository>
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<id>sonatype-nexus-snapshots</id>
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<name>Sonatype Nexus snapshot repository</name>
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<url>https://oss.sonatype.org/content/repositories/snapshots</url>
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</snapshotRepository>
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<repository>
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<id>nexus-releases</id>
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<name>Nexus Release Repository</name>
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<url>http://oss.sonatype.org/service/local/staging/deploy/maven2/</url>
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</repository>
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</distributionManagement>
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<dependencyManagement>
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<dependencies>
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<dependency>

data-pipeline-examples/pom.xml

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<groupId>org.deeplearning4j</groupId>
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<artifactId>data-pipeline-examples</artifactId>
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<version>1.0.0-beta6</version>
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<version>1.0.0-beta7</version>
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<name>Building a data pipeline prior to modeling</name>
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<description>Loading raw data and processing it before training</description>
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<properties>
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<dl4j-master.version>1.0.0-SNAPSHOT</dl4j-master.version>
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<dl4j-master.version>1.0.0-beta7</dl4j-master.version>
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<!-- Change the nd4j.backend property to nd4j-cuda-X-platform to use CUDA GPUs -->
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<!-- <nd4j.backend>nd4j-cuda-10.2-platform</nd4j.backend> -->
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<nd4j.backend>nd4j-native</nd4j.backend>
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<spark.version>2.4.3</spark.version>
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</properties>
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<repositories>
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<repository>
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<id>snapshots-repo</id>
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<url>https://oss.sonatype.org/content/repositories/snapshots</url>
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<releases>
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<enabled>false</enabled>
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</releases>
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<snapshots>
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<enabled>true</enabled>
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<updatePolicy>daily</updatePolicy> <!-- Optional, update daily -->
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</snapshots>
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</repository>
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dl4j-distributed-training-examples/pom.xml

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<groupId>org.deeplearning4j</groupId>
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<artifactId>dl4j-distributed-training-examples</artifactId>
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<version>1.0.0-beta6</version>
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<version>1.0.0-beta7</version>
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<name>Introduction to Distributed Training with DL4J</name>
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<description>A set of examples introducing distributed training with the DL4J framework</description>
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<properties>
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<dl4j-master.version>1.0.0-SNAPSHOT</dl4j-master.version>
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<dl4j-master.version>1.0.0-beta7</dl4j-master.version>
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<!-- Change the nd4j.backend property to nd4j-cuda-X-platform to use CUDA GPUs -->
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<!-- <nd4j.backend>nd4j-cuda-10.2-platform</nd4j.backend> -->
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<nd4j.backend>nd4j-native</nd4j.backend>
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<jackson.version>2.5.1</jackson.version>
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</properties>
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<repositories>
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<repository>
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<id>snapshots-repo</id>
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<url>https://oss.sonatype.org/content/repositories/snapshots</url>
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<releases>
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<enabled>false</enabled>
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</releases>
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<snapshots>
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<updatePolicy>daily</updatePolicy> <!-- Optional, update daily -->
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<version>1.0.0-beta7_spark_2</version>
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<groupId>org.deeplearning4j</groupId>

dl4j-examples/pom.xml

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<groupId>org.deeplearning4j</groupId>
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<artifactId>dl4j-examples</artifactId>
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<version>1.0.0-beta6</version>
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<version>1.0.0-beta7</version>
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<name>Introduction to DL4J</name>
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<description>A set of examples introducing the DL4J framework</description>
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<dl4j-master.version>1.0.0-SNAPSHOT</dl4j-master.version>
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<dl4j-master.version>1.0.0-beta7</dl4j-master.version>
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<!-- Change the nd4j.backend property to nd4j-cuda-X-platform to use CUDA GPUs -->
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<!-- <nd4j.backend>nd4j-cuda-10.2-platform</nd4j.backend> -->
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<nd4j.backend>nd4j-native</nd4j.backend>
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<logback.version>1.1.7</logback.version>
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<url>https://oss.sonatype.org/content/repositories/snapshots</url>
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<releases>
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<enabled>false</enabled>
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mvn-project-template/pom.xml

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<!-- Group-ID, artifact ID and version of the project. You can modify these as you want -->
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<version>1.0.0-beta7</version>
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<!-- Properties Section. Change ND4J versions here, if required -->
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<dl4j-master.version>1.0.0-beta7</dl4j-master.version>
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<logback.version>1.2.3</logback.version>
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<maven-shade-plugin.version>2.4.3</maven-shade-plugin.version>

nd4j-ndarray-examples/pom.xml

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<version>1.0.0-beta7</version>
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<description>Working with NDArrays</description>
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<dl4j-master.version>1.0.0-SNAPSHOT</dl4j-master.version>
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<dl4j-master.version>1.0.0-beta7</dl4j-master.version>
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<!-- <nd4j.backend>nd4j-cuda-10.2-platform</nd4j.backend> -->
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<nd4j.backend>nd4j-native</nd4j.backend>

samediff-examples/pom.xml

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<version>1.0.0-beta7</version>
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<dl4j-master.version>1.0.0-beta7</dl4j-master.version>
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<dependencies>

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