Facial Expression Classification Using Deep Learning & AWS

Introduction

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:

#aws-sagemaker #deep-learning #ai #aws

Facial Expression Classification Using Deep Learning & AWS