Deploy a Sentiment Analysis Model

Project Overview

Welcome to the SageMaker deployment project! In this project you will construct a recurrent neural network for the purpose of determining the sentiment of a movie review using the IMDB data set. You will create this model using Amazon's SageMaker service. In addition, you will deploy your model and construct a simple web app which will interact with the deployed model.

Project Instructions

The deployment project which you will be working on is intended to be done using Amazon's SageMaker platform. In particular, it is assumed that you have a working notebook instance in which you can clone the deployment repository.

Evaluation

Your project will be reviewed by a Udacity reviewer against the deployment project rubric . Review this rubric thoroughly, and self-evaluate your project before submission. All criteria found in the rubric must meet specifications for you to pass.

Project Submission

When you are ready to submit your project, collect all of the files in the project directory and compress them into a single archive for upload. In particular, make sure that the following files are included:

  • The SageMaker Project.ipynb file with fully functional code, all code cells executed and displaying output , and all questions answered .
  • An HTML or PDF export of the project notebook with the name report.html or report.pdf .
  • The completed train/train.py and serve/predict.py python files.
  • The edited website/index.html file.

Alternatively, your submission could consist of the GitHub link to your repository.

Project Submission Checklist

Before submitting your project, please review and confirm the following items.
I am confident all rubric items have been met and my project will pass as submitted.
Project builds correctly without errors and runs.
All required functionality exists and my project behaves as expected per the project's specifications.

Once you have checked all these items, you are ready to submit!

Ready to submit your project?

Click on the "Submit Project" button and follow the instructions to submit!