Tensorflow.Js Programming Tutorials, Guides & Best Practices
Explore 2+ expertly crafted tensorflow.js tutorials, components, and code examples. Stay productive and build faster with proven implementation strategies and design patterns from DeveloperBreeze.
Adblocker Detected
It looks like you're using an adblocker. Our website relies on ads to keep running. Please consider disabling your adblocker to support us and access the content.
Building a Real-Time Object Detection Web App with TensorFlow.js and p5.js
You do not need any backend setup since everything runs in the browser using TensorFlow.js and p5.js.
Create a new folder for your project and add an index.html file. In this file, we’ll include the necessary libraries via CDN:
Leveraging Machine Learning Models in Real-Time with TensorFlow.js and React: Building AI-Powered Interfaces
In this tutorial, we’ll walk through how to set up a React application that leverages TensorFlow.js to build an AI-powered interface. We’ll cover the basics of TensorFlow.js, loading and running a pre-trained model, and integrating the model into a React component to create a responsive and interactive user experience.
First, we need to set up a new React application. You can create a new app using create-react-app: