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Deploying an RNN sentiment analysis model by using PyTorch, AWS Services, SageMaker, API Gateway, Lambda. a Machine Learning Engineer Nanodegree project.

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Yasalm/deploying-sentiment-analysis-Wep-App

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SageMaker Deployment Project

Building recurrent neural network for the purpose of determining the sentiment of a movie review using the IMDB data set. created the model by using Amazon's SageMaker service. In addition, deploying the model and construct a simple web app which will interact with the deployed model.

Project Overview

  • The below diagram shows how the deployed endpoint - model - communicates to the app, The app here serves as interfce to get reviews data from the user, And through API gateway, Lambda we pass the data and get a predction back in binary [1, 0].
  • 1: Postive.
  • 0: Negative.

Diagram

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Deploying an RNN sentiment analysis model by using PyTorch, AWS Services, SageMaker, API Gateway, Lambda. a Machine Learning Engineer Nanodegree project.

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