Deep Learning: Deploying Sentiment Analysis

Nanodegree Project

This project is to fulfill the graduation requirements of the Deep Learning nanodgree in Udacity.

About The Project

In this project, a recurrent neural network was built to predict the sentiment of a movie review using the IMDB data set. This model was made with Amazon's SageMaker service. Also, the model was deployed, and a simple web app interacting with the deployed model was built.

Deep-Learning, Sentiment-Analysis,Sage-Maker

Built With

• Python;
• Jupyter-Notebook;
• HTML
• SageMaker
• PyTorch

The Model Includes the following files:

• 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.