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A 60 minutes Gluon crash course

This crash course aims to provide a quick overview of how to use Gluon, the imperative interface of MXNet. It will teach

  1. the basic usage of each component
  2. training a basic neural network to predict images.

This course assumes readers have basic knowledge about machine learning and neural networks. Otherwise please refer to this excellent hands-on tutorials to learn deep learning from scratch.

Contents of this course:


.. toctree::
   :maxdepth: 1
   :numbered:

   ndarray
   nn
   autograd
   train
   predict
   use_gpus

You may also obtain the PDF version here. The packed notebooks are available in both zip and tar.gz format.

To ask questions, please use our forum

Acknowledgment:

  1. The idea to provide a short tutorial is from Pytorch
  2. A large amount of content is adapted from Deep Learning - The Straight Dope