Introduction In 2026, WebGPU has become a browser standard. On-device AI inference has evolved from experimental research into production engineering practice. And TensorFlow.js — Google's official browser-side machine learning framework — sits at the center of this transformation. For frontend developers, this means one thing: building AI no longer requires Python, GPU servers, or even a backend . In between writing React or Vue components, you can run a real-time gesture recognition model right in the browser. This guide cuts through the hype and tells you what TensorFlow.js can actually do, how to use it, and where the pitfalls are. 1. What Exactly Is TensorFlow.js? The definition is simple: TensorFlow.js is the JavaScript port of TensorFlow that lets you complete the entire ML workflow — loading models, running inference, and even training — entirely in JavaScript within the browser or Node.js.…