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About Cloud Computing: Project Work
This document describes how to implement and deploy a machine learning model using AWS services. It involves: 1. Training a model locally using Python and a deep learning library like MXNet. 2. Wrapping the trained model in a Flask application. 3. Containerizing the Flask application using Docker. 4. Using AWS CodeCommit to store the source code. 5. Configuring a CodePipeline to build the Docker image and deploy it to ECS for hosting, utilizing services like ECR, S3 and CloudFormation. 6. Testing the deployed model by calling the API and making predictions.
Detailed Information
| Author: | ['Hoimanti Dutta'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 34 |
| Language: | English |
| Format: | |
| Price: | FREE |
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