In this Project I trained an algorithm to classify facial expressions. The algorithm used is AWS SageMaker image classification algorithm which is a supervised learning algorithm. It takes an image as input and outputs one or more labels assigned to that image. It uses a convolutional neural network (with ResNet architecture) that can be trained from scratch or trained using transfer learning. After the model is created from training, I made it externally available by creating a REST API.
This project was done for learning and practice after finishing a 4-week 8-session course, “deep learning & full stack in AWS”, represented by AICamp.
S3, SageMaker, Lambda, API Gateway are the tools from AWS that were used in this project. Learn more at these links:
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