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

Описание: Want to extract deeper insights from text?

Need to start plugging in some NLP into your WebApps?

Ready to level up your startup with some next-gen Artificial Intelligence?

This just might be a great place to start. In this video you'll learn how to get started with NLP powered Question Answering (Q&A) using the state of the art BERT model from Tensorflow.JS. In less than 30 minutes you can have your very own NLP web app ready to answer and uncover insights from a passage of text.

Get the code: https://github.com/nicknochnack/QnA-W...

In this video you'll learn how to:
1. Install Tensorflow.JS and BERT
2. Develop an interface to capture a passage and question
3. Perform real time BERT evaluation and scoring

Links Mentioned:
Tensorflow.Js Models: https://www.tensorflow.org/js/models
Create React App: https://reactjs.org/docs/create-a-new...
React Hooks: https://reactjs.org/docs/hooks-intro....

Chapters:
0:00 - Start
3:45 - Installing Dependencies
5:32 - Importing Dependencies
8:21 - Setting up State and Reference Hooks
10:41 - Loading the BERT Model from Tensorflow.JS
15:25 - Handling Questions and Model Responses
17:59 - Coding the User Interface in JSX
23:14 - Testing the App with Results
26:14 - Applying Prediction Score Formatting
26:44 - Final App

Oh, and don't forget to connect with me!
LinkedIn:   / nicholasrenotte  
Facebook:   / nickrenotte  
GitHub: https://github.com/nicknochnack
Patreon:   / nicholasrenotte  

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!