docs/static_site/src/pages/api/scala/index.md

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# MXNet - Scala API

MXNet supports the Scala programming language. The MXNet Scala package brings flexible and efficient GPU
computing and state-of-art deep learning to Scala. It enables you to write seamless tensor/matrix computation with multiple GPUs in Scala. It also lets you construct and customize the state-of-art deep learning models in Scala, and apply them to tasks, such as image classification and data science challenges.



## Image Classification with the Scala Infer API
The Infer API can be used for single and batch image classification. More information can be found at the following locations:

## Tensor and Matrix Computations
You can perform tensor or matrix computation in pure Scala:

```scala
   import org.apache.mxnet._

   val arr = NDArray.ones(2, 3)
   // arr: org.apache.mxnet.NDArray = org.apache.mxnet.NDArray@f5e74790

   arr.shape
   // org.apache.mxnet.Shape = (2,3)

   (arr * 2).toArray
   // Array[Float] = Array(2.0, 2.0, 2.0, 2.0, 2.0, 2.0)

   (arr * 2).shape
   // org.apache.mxnet.Shape = (2,3)
```

## Related Resources

* [Neural Style in Scala on MXNet](https://github.com/apache/incubator-mxnet/blob/master/scala-package/examples/src/main/scala/org/apache/mxnetexamples/neuralstyle/NeuralStyle.scala)
* [More Scala Examples](https://github.com/apache/incubator-mxnet/tree/master/scala-package/examples/src/main/scala/org/apache/mxnetexamples)