My minimalist pom.xml for using Eclipse Deeplearning4j in a Maven project.

pom.xml

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <groupId>org.certifai</groupId>
    <artifactId>MyDL4JProject</artifactId>
    <version>0.1-SNAPSHOT</version>
    <name>Computer Vision</name>

    <properties>
    <!-- Change the nd4j.backend property to nd4j-cuda-9.2-platform,nd4j-cuda-10.0-platform or nd4j-cuda-10.1-platform to use CUDA GPUs -->
    <nd4j.backend>nd4j-cuda-10.1-platform</nd4j.backend>
    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    <shadedClassifier>bin</shadedClassifier>
    <nd4j.version>1.0.0-beta6</nd4j.version>
    <dl4j.version>1.0.0-beta6</dl4j.version>
    <datavec.version>1.0.0-beta6</datavec.version>
    <arbiter.version>1.0.0-beta6</arbiter.version>
    <rl4j.version>1.0.0-beta6</rl4j.version>

    <scala.binary.version>2.11</scala.binary.version>
    <spark.version>2.4.3</spark.version>
    <hadoop.version>2.2.0</hadoop.version>  <!-- Hadoop version used by Spark 1.6.3 and 2.2.1 (and likely others) -->
    <guava.version>19.0</guava.version>
    <jcommon.version>1.0.23</jcommon.version>
    <maven-compiler-plugin.version>3.6.1</maven-compiler-plugin.version>
    <maven-shade-plugin.version>2.4.3</maven-shade-plugin.version>
    <exec-maven-plugin.version>1.4.0</exec-maven-plugin.version>
    <maven.minimum.version>3.3.1</maven.minimum.version>
    <javafx.version>2.2.3</javafx.version>
    <scala.plugin.version>3.2.2</scala.plugin.version>
    </properties>

    <repositories>
        <repository>
            <id>snapshots-repo</id>
            <url>https://oss.sonatype.org/content/repositories/snapshots</url>
            <releases>
                <enabled>false</enabled>
            </releases>
            <snapshots>
                <enabled>true</enabled>
            </snapshots>
        </repository>
    </repositories>
    <dependencies>
        <!-- ND4J backend. You need one in every DL4J project. Normally define artifactId as either nd4j-native-platform or nd4j-cuda-X.X-platform to use CUDA GPUs (check parent pom for supported cuda versions) -->
        <dependency>
            <groupId>org.nd4j</groupId>
            <artifactId>${nd4j.backend}</artifactId>
            <version>${nd4j.version}</version>
        </dependency>

        <dependency>
            <groupId>org.deeplearning4j</groupId>
            <artifactId>deeplearning4j-cuda-10.1</artifactId>
            <version>${dl4j.version}</version>
        </dependency>

        <dependency>
            <groupId>org.bytedeco</groupId>
            <artifactId>cuda-platform</artifactId>
            <version>10.1-7.6-1.5.2</version>
        </dependency>

        <!-- Additional dependencies to use bundled CUDA, cuDNN, and NCCL -->
        <dependency>
            <groupId>org.bytedeco</groupId>
            <artifactId>cuda-platform-redist</artifactId>
            <version>10.1-7.6-1.5.2</version>
        </dependency>

        <dependency>
            <groupId>org.deeplearning4j</groupId>
            <artifactId>deeplearning4j-zoo</artifactId>
            <version>${dl4j.version}</version>
        </dependency>

        <dependency>
            <groupId>org.deeplearning4j</groupId>
            <artifactId>deeplearning4j-nn</artifactId>
            <version>${dl4j.version}</version>
        </dependency>
        <dependency>
            <groupId>org.bytedeco</groupId>
            <artifactId>javacv-platform</artifactId>
            <version>1.5.2</version>
        </dependency>

        <dependency>
            <groupId>ch.qos.logback</groupId>
            <artifactId>logback-classic</artifactId>
            <version>1.2.3</version>
        </dependency>
        <dependency>
            <groupId>org.deeplearning4j</groupId>
            <artifactId>deeplearning4j-ui</artifactId>
            <version>1.0.0-beta6</version>
        </dependency>
    </dependencies>
</project>