# Maven

## Configuring the Maven build tool

You can use Deeplearning4j with Maven by adding the following to your `pom.xml`:

```markup
<dependencies>
  <dependency>
      <groupId>org.deeplearning4j</groupId>
      <artifactId>deeplearning4j-core</artifactId>
      <version>1.0.0-M2.1</version>
  </dependency>
</dependencies>
```

The instructions below apply to all DL4J and ND4J submodules, such as `deeplearning4j-api`, `deeplearning4j-scaleout`, and ND4J backends.

## Add a backend

DL4J relies on ND4J for hardware-specific implementations and tensor operations. Add a backend by pasting the following snippet into your `pom.xml`:

```markup
<dependencies>
  <dependency>
      <groupId>org.nd4j</groupId>
      <artifactId>nd4j-native-platform</artifactId>
      <version>1.0.0-M2.1</version>
  </dependency>
</dependencies>
```

You can also swap the standard CPU implementation for [GPUs](https://deeplearning4j.konduit.ai/multi-project/configuration/backends/cudnn#cudnn-setup). Note that for mac m1 systems, you must use the following configuration, this is normally not needed but mac m1 does not have dependencies for everything.<br>

```
<dependency>
  <groupId>org.nd4j</groupId>
  <artifactId>nd4j-native</artifactId>
  <version>1.0.0-M2.1</version>
</dependency>
<dependency>
  <groupId>org.nd4j</groupId>
  <artifactId>nd4j-native</artifactId>
  <version>1.0.0-M2.1</version>
  <classifier>macosx-arm64</classifier>
</dependency>
<dependency>
  <groupId>org.bytedeco</groupId>
  <artifactId>openblas</artifactId>
  <version>0.3.21-1.5.8</version>
  <classifier>macosx-arm64</classifier>
</dependency>
```


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