Did this project as a part of requirements for graduation of the Udacity Deep Learning Nanodegree. Constructed a Recurrent Neural Network (LSTM) on top of an embedding layer and trained it on the BOW encoded IMDB dataset containing movie review for detecting sentiment of a movie review. Created the training job, model and deployed the model on AWS SageMaker service. Gave access of the deployed model to a simple web app that can take input review as text from an user and give the sentiment of the review as output by creating a Lambda function and API Gateway and giving the web app access to the API Gateway.
Simply, click the "Book" button of Deploying A Sentiment Analysis Model Using AWS SageMaker and proceed to the payment method. Enter your desired schedule of training. You will receive an email confirmation for Deploying A Sentiment Analysis Model Using AWS SageMaker and a representative / trainer will get in touch with you.
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July 7, 2022 (Thursday) | 09:30 AM - 04:30 PM |
July 21, 2022 (Thursday) | 09:30 AM - 04:30 PM |
August 4, 2022 (Thursday) | 09:30 AM - 04:30 PM |
August 18, 2022 (Thursday) | 09:30 AM - 04:30 PM |
September 1, 2022 (Thursday) | 09:30 AM - 04:30 PM |
September 15, 2022 (Thursday) | 09:30 AM - 04:30 PM |
September 29, 2022 (Thursday) | 09:30 AM - 04:30 PM |
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