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# MXNet Documentation
[MXNet.jl](https://github.com/dmlc/MXNet.jl) is the
[Julia](http://julialang.org/) package of
[dmlc/mxnet](https://github.com/dmlc/mxnet). MXNet.jl brings flexible and efficient GPU
computing and state-of-art deep learning to Julia. Some highlight of features
include:
* Efficient tensor/matrix computation across multiple devices,
including multiple CPUs, GPUs and distributed server nodes.
* Flexible symbolic manipulation to composite and construct
state-of-the-art deep learning models.
For more details, see documentation below. Please also checkout the
[examples](https://github.com/apache/incubator-mxnet/tree/master/julia/examples) directory.
## Tutorials
```@contents
Pages = [
"tutorial/mnist.md",
"tutorial/char-lstm.md",
]
Depth = 2
```
## User's Guide
```@contents
Pages = [
"user-guide/install.md",
"user-guide/overview.md",
"user-guide/faq.md",
]
Depth = 2
```
## API Documentation
```@contents
Pages = [
"api/context.md",
"api/ndarray.md",
"api/symbolic-node.md",
"api/model.md",
"api/initializers.md",
"api/optimizers.md",
"api/callbacks.md",
"api/metric.md",
"api/io.md",
"api/nn-factory.md",
"api/executor.md",
"api/visualize.md",
]
```