NLP Powered Q&A with React.Js and Tensorflow.Js BERT скачать в хорошем качестве

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

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!