To install ND4J, there are a couple of approaches, and more information can be found on the ND4J website.

Install from Maven Central

  1. Search for nd4j in the Maven Central Repository to find the available nd4j jars.
  2. Include the appropriate dependency in your pom.xml.

Clone from the GitHub Repo

ND4J is actively developed. You can clone the repository, compile it, and reference it in your project.

Clone the repository:

$ git clone https://github.com/deeplearning4j/nd4j.git

Compile the project:

$ cd nd4j
$ mvn clean install -DskipTests -Dmaven.javadoc.skip=true

Add the local compiled file dependency (choose the module for your backend) to your pom.xml file:

<dependency>
    <groupId>org.nd4j</groupId>
    <artifactId>nd4j-jblas</artifactId>
    <version>0.0.3.5.5.4-SNAPSHOT</version>
</dependency>

Yum Install / Load RPM (Fedora or CentOS)

Create a yum repo and run yum install to load the Red Hat Package Management (RPM) files. First create the repo file to setup the configuration locally.

$ sudo vi /etc/yum.repos.d/dl4j.repo

Add the following to the dl4j.repo file:

[dl4j.repo]

name=dl4j-repo
baseurl=http://ec2-52-5-255-24.compute-1.amazonaws.com/repo/RPMS
enabled=1
gpgcheck=0

Then run the following command on the dl4j repo packages to install them on your machine:

$ sudo yum install [package name] -y
$ sudo yum install nd4j-cli -y # for example

Note, be sure to install the nd4j modules you need first, especially the backend and then install Canova and dl4j.