Slides from MXNet tutorials
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README.md

mxnet-slides

Slides from MXNet tutorials

To learn more about Apache (incubator) MXNet Gluon, try our interactive book on Deep Learning and MXNet, taught entirely through runnable Jupyter notebooks. The project is being developed in the open and is available for free https://github.com/zackchase/mxnet-the-straight-dope/

Contents

ICML2017

ICML2017 has 104 slides, for a 2-hour tutorial, covering these topics:

  1. Deep Learning 101
  2. NDArray
  3. Multilayer Perceptrons
  4. Convolutional Neural Networks
  5. Generative Adversarial Networks
  6. LSTMs
  7. TreeLSTMs
  8. Distributed Optimization
  9. Parallel Training

From https://2017.icml.cc/Conferences/2017/Schedule?showEvent=894 (Aug 6th, 2017)

Video available here

KDD2017

KDD2017 is 147 slides, for a 3-part, 5 hour tutorial.

1. Getting Started
  1.1. Installation
  1.2. Deep Learning 101
  1.3. NDArray
2. Neural Networks in MXNet
  2.1. Linear Models & MLPs
  2.2. Loss Functions
  2.3. Convolutional Neural Networks
  2.4. Optimization & Capacity Control
3. Advanced Topics
  3.1. Generative Adversarial Networks
  3.2. LSTMs
  3.3. TreeLSTMs
4. Scaling Learning
  4.1. Infrastructure on AWS
  4.2. Parallel Optimization Algorithms
  4.3. Parallel and Distributed Training

From http://www.kdd.org/kdd2017/ (Tue, Aug 15 2017)

Videos available here: part 1, part 2