These are Jupyter notebooks to help you learn MXNet. I've based them off of documentation and tutorials at http://mxnet.io/ and the MXNet samples at https://github.com/dmlc/mxnet-notebooks/.
We start with the basics of building a simple neural network, then move on to training a network, and finally putting it all together and playing with MNIST data and running the network on both GPU and CPU.
| Topic | URL |
|---|---|
| 1. Basic Neural Networks | http://mxnet.io/tutorials/python/symbol.html |
| 2. Training a Neural Network | http://mxnet.io/tutorials/python/module.html |
| 3. Putting It All Together | https://github.com/dmlc/mxnet-notebooks/blob/master/python/basic/mixed.ipynb |