We discover three scenarios, Deploying a model developed in SageMaker, Deploying model artefacts from S3, and deploying model artefacts from docker image
60 mins
Eden
MXNet on Edge with Raspberry PI
We demonstrate a simple model that runs on Raspberry PI 3
30 min
Christian
MXNet on Edge with Amazon Greengrass
IWe demonstrate deployment of a simple CV model on Amazon GreenGrass using Lambda
30 mins
Christian
Keras-MXNet 2 (LAB)
We use Keras to implement a bi-directional LSTM using Keras and the MXNet backend
30 mins
Cyrus
GluonCV toolkit
Walk through of key features of the GluonCV toolkit, with demo.
30 mins
Thom
Day4
Title
Description
Duration
Presenter
Gluon project structure
Suggestions on how you can organize your MXNet Gluon projects.
30 mins
Cyrus
Hackathon
A project based on bi-directional LSTM will be implemented to incorporate all the material from the first three days. If participants have prepared datasets of significant size we attempt to optimize the distributed training for large batch sizes
## Convert to slides
# jupyter nbconvert <your notebook> --to slides --reveal-prefix reveal.js
## then copy the html file to `slides/note2slides` containing reveal.js