MXNet Notebooks

This repo contains various notebooks ranging from basic usages of MXNet to state-of-the-art deep learning applications.

How to use

Python

The python notebooks are written in Jupyter.

• View To view the notebooks on nbviewer.

• Edit You should be able to view and edit these notebooks if jupyter is installed.

How to develope

Some general guidelines

• A notebook covers a single concept or application
• Try to be as basic as possible. Put advanced usages at the end, and allow reader to skip it.
• Keep the cell outputs on the notebooks so that readers can see the results without running
• Organize frequenlty asked questions on the mxnet's issue into notebooks.