Add AWS Seoul Summit demos to ipython notebook examples (apache#5846)

example/README.md

@@ -85,6 +85,7 @@ If you want to contribute to this list and the examples, please open a new pull
 * [Multi task tutorial](https://github.com/haria/mxnet-multi-task-example/blob/master/multi-task.ipynb) - A demo of how to train and predict multi-task network on both MNIST and your own dataset.
 * [class active maps](https://github.com/dmlc/mxnet-notebooks/blob/master/python/moved-from-mxnet/class_active_maps.ipynb) - A demo of how to localize the discriminative regions in an image using global average pooling (GAP) in CNNs.
 * [DMLC MXNet Notebooks](https://github.com/dmlc/mxnet-notebooks) DMLC's repo for various notebooks ranging from basic usages of MXNet to state-of-the-art deep learning applications.
+* [AWS Seoul Summit 2017 Demos](https://github.com/sxjscience/aws-summit-2017-seoul) The demo codes and ipython notebooks in AWS Seoul Summit 2017.
 
 ### <a name="mobile-apps-examples"></a>Mobile App Examples
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