09h30-10h00 Breakfast
10h00-10h30 Intro to MXNet (resources: MXNet Ecosystem, Scalable Deep Learning on AWS with MXNet)
10h30–11h15 Practical Computer Vision with gluoncv (hands-on)
11h15-11h30 break
11h30-12h45 From NDArray to optimized, trained model (hands-on)
12h45-14h00 Lunch + Q&A
14h00-14h15 Distributed Training
14h15-15h00 Inference: MMS (demo1, demo2, demo3, demo4), Hybridization, TVM
15h00-15h15 break
15h15-17h00 Advanced example: MF-based recommendations (hands-on)
Run this in a terminal in the jupyter notebook to get started:
cd SageMaker
git clone https://github.com/ThomasDelteil/MXNetParisWorkshop