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YouTube

NLP Powered Q&A with React.js and Tensorflow.js BERT

Nicholas Renotte via YouTube

Overview

Learn how to implement NLP powered Question Answering (Q&A) using the BERT model from Tensorflow.JS in a web application. The course covers installing Tensorflow.JS and BERT, developing an interface for capturing text and questions, real-time BERT evaluation, and scoring. The teaching method includes practical demonstrations and coding examples. This course is intended for individuals interested in integrating NLP capabilities into web applications using React.JS and Tensorflow.JS.

Syllabus

- Start
- Installing Dependencies
- Importing Dependencies
- Setting up State and Reference Hooks
- Loading the BERT Model from Tensorflow.JS
- Handling Questions and Model Responses
- Coding the User Interface in JSX
- Testing the App with Results
- Applying Prediction Score Formatting
- Final App

Taught by

Nicholas Renotte

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