DeepLens Workshop
In this workshop you will learn how to train a model in Amazon SageMaker, register your AWS DeepLens device, and deploy your machine learning model to AWS DeepLens. You will see a demo of a sentiment analysis project. This project was submitted by Ricardo Mota and Jidesh Veeramachaneni as part of the DeepLens Hackathon challenge. The project was built by extending the face detection project and integrating it with Amazon Rekognition.
The workshop consists of 2 hands-on lab sessions:
Hands-on Lab 1: Build and train a face detection model in SageMaker
In this lab, you will build and train a face detection model. You can find the instructions here: SageMaker lab
Hands-on Lab 2: Register your DeepLens and deploy to device.
The instructions for this hands-on lab is here: Registration and deployment