MXNet is widely used in production environments owing to its strong reputation for speed. Now with gluon, MXNet’s new imperative interface, doing research in MXNet is easy.
In this tutorial, we will walk through how to use gluon to implement various algorithms. We will present every concept in details, no deep learning background is required to attend. We encourage the audience to bring their laptops to have a hands-on experience with gluon.
This tutorial is on 9AM--12AM, 7/26 Wed, at 315, convention center. The detailed schedule is as follows:
- 9:00 - 9:30: What is Gluon, why? slides
- 9:30 - 10:30: Part I:
- 15min: n-dimensional arrays notebook
- 15min: auto differentiation notebook
- 15min: linear regression notebook I, notebook II
- 15min: convolution neural networks notebook I, notebook II
- 10:30 - 11:00: Coffee break
- 11:00 - 12:00: Part II:
- 10min: hybridizing imperative and symbolic programming notebook
- 10min: MXNet backend engine slides
- 15min: multi-GPU and multi-machine slides
- 15min: training with multi-GPUs notebook I, notebook II
- 5min: training with multi-machines notebook
Note: all notebooks are runnable, the setup instructions are available here