Suppose we are using Linux OS like Linux mint or Ubuntu.
At first, we will install JDK.
$ sudo apt-get update
$ sudo apt-get install openjdk-8-jdk
$ sudo apt-get install openjfx
$ java -version
openjdk version "1.8.0_151"
OpenJDK Runtime Environment (build 1.8.0_151-8u151-b12-0ubuntu0.16.04.2-b12)
OpenJDK 64-Bit Server VM (build 25.151-b12, mixed mode)
$ sudo apt-get install openjdk-8-jdk
$ sudo apt-get install openjfx
$ java -version
openjdk version "1.8.0_151"
OpenJDK Runtime Environment (build 1.8.0_151-8u151-b12-0ubuntu0.16.04.2-b12)
OpenJDK 64-Bit Server VM (build 25.151-b12, mixed mode)
Then install Maven.
$ sudo apt-get install maven
$ mvn -version
Apache Maven 3.3.9
Maven home: /usr/share/maven
Java version: 1.8.0_144, vendor: Oracle Corporation
Java home: /usr/lib/jvm/java-8-oracle/jre
Default locale: en_US, platform encoding: UTF-8
OS name: "linux", version: "4.8.0-53-generic", arch: "amd64", family: "unix"
$ mvn -version
Apache Maven 3.3.9
Maven home: /usr/share/maven
Java version: 1.8.0_144, vendor: Oracle Corporation
Java home: /usr/lib/jvm/java-8-oracle/jre
Default locale: en_US, platform encoding: UTF-8
OS name: "linux", version: "4.8.0-53-generic", arch: "amd64", family: "unix"
Maven is a project management tool, which is aimed for Java projects.
Available commands of Maven:
install
clean
compile
package
validate
test-compile
test
integration-test
verify
deploy
clean
compile
package
validate
test-compile
test
integration-test
verify
deploy
Install git.
$ sudo apt-get install git
$ git --version
git version 2.7.4
$ git --version
git version 2.7.4
Create a workspace folder.
$ mkdir ~/dlj
$ mkdir ~/dlj/workspace
$ cd ~/dlj/workspace
$ mkdir ~/dlj/workspace
$ cd ~/dlj/workspace
Install dl4j from git.
$ git clone https://github.com/deeplearning4j/dl4j-examples.git
$ cd dl4j-examples/
$ cd dl4j-examples/
If you want to use Nvidia's GPU for learning, change some of the POM in the root directory.
<name>DeepLearning4j Examples Parent</name>
<description>Examples of training different data sets</description>
<properties>
<nd4j.backend>nd4j-cuda-8.0-platform</nd4j.backend>
<description>Examples of training different data sets</description>
<properties>
<nd4j.backend>nd4j-cuda-8.0-platform</nd4j.backend>
like this
Then install.
$ mvn clean install
Install intellij (That is an integrated development environment for Java):
$ mkdir ~/intellij
$ cd ~/intellij
$ wget https://download.jetbrains.com/idea/ideaIC-2017.2.5.tar.gz
$ tar xfz ideaIC-2017.2.5.tar.gz
$ cd idea-IC-172.4343.14/bin
$ ./idea.sh
Or download intellij from the official website: https://www.jetbrains.com/idea/download/#section=linux$ cd ~/intellij
$ wget https://download.jetbrains.com/idea/ideaIC-2017.2.5.tar.gz
$ tar xfz ideaIC-2017.2.5.tar.gz
$ cd idea-IC-172.4343.14/bin
$ ./idea.sh
Open intellij and choose "import project".
Choose "Maven" and click "Next".
Just click "Next" without touching anything.
Tick "open jfx" and click "Next".
Tick the URL of dl4j and click "Next".
Tick the SDK and click "Next".
Click "Finish".
Wait until the loading is finished.
Choose an example which you want to run and right-click on it. Then menu will be shown. Click "Run" from the menu. Then the deep learning will be started.
I will try LenetMnistExample:
The result of LenetMnistExample:
==========================Scores========================================
# of classes: 10
Accuracy: 0.9746
Precision: 0.9748
Recall: 0.9745
F1 Score: 0.9744
Precision, recall & F1: macro-averaged (equally weighted avg. of 10 classes)
========================================================================
o.d.e.c.LenetMnistExample - ****************Example finished********************