In the first part of this tutorial series, you learned how to train a recommender system that can suggest books for users based on their history/interactions with those books.

In the second part, you learned how to convert your trained model, and then embed it in a web application built in JavaScript. This allowed you to display books to users, as well as display recommended books in the browser.

In this third and final part, you’ll learn how to deploy your application to the cloud using Google Firebase, an efficient platform for building scalable applications.

Build, Train and Deploy a Book Recommender System using Keras and TensorFlow.js, - Part 1

Build, Train and Deploy a Book Recommender System using Keras and TensorFlow.js, - Part 2

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