DeepLens-workshops

In this workshop you will learn how to build a sentiment analysis project for your DeepLens. This project was submitted by Ricardo Mota and Jidesh Veeramachaneni as part of the DeepLens Hackathon challenge.

In this project you will learn to build a deep learning model to identify and analyze the sentiments of your audience

In this workshop you will learn the following:

1. How to build and train a face detection model in SageMaker
2. Modify the DeepLens inference lambda function to upload cropped faces to S3
3. Depploy the inference lambda function and face detection model to DeepLens
4. Create a lambda function to trigger Rekognition to identify emotions
5. Create a DynamoDB table to store the recognized emotions
6. Analyze using CloudWatch