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# R Tutorials
These tutorials introduce a few fundamental concepts in deep learning and how to implement them in R using _MXNet_.
```eval_rst
.. toctree::
:maxdepth: 1
ndarray
symbol
fiveMinutesNeuralNetwork
classifyRealImageWithPretrainedModel
mnistCompetition
CatsDogsFinetune
CharRnnModel
CallbackFunction
CustomIterator
CustomLossFunction
```
<br>
More tutorials and examples are available in the GitHub [repository](https://github.com/apache/incubator-mxnet/tree/master/example).