Training Machine Learning Models with Teachable Machine and TensorFlow.js

Machine learning does not have to be intimidating or require years of advanced mathematics to get started. You can build and deploy intelligent, interactive web applications today using accessible web tools and modern JavaScript. In this text-based course, you will learn how to train custom image recognition models and run them directly in the browser. You will start with foundational concepts of machine learning, move on to training a model to recognize physical gestures, and finally write clean, modern JavaScript to integrate that model into a web project. What you'll learn: - Understand foundational machine learning concepts, including classification, training data, and real-time inference. - Train custom image recognition models using a web-based interface to detect specific gestures and poses. - Export and load trained models into web applications using TensorFlow.js and modern asynchronous JavaScript. - Write clean JavaScript to handle real-time browser inputs and trigger interactive actions based on model predictions. - Apply best practices for performance optimization and user privacy when handling media streams in the browser. The course starts with essential terminology and the basics of data collection. You will then progress through step-by-step written explanations and code snippets detailing model training, exporting, and writing the JavaScript code required to bring your model to life. Designed specifically for beginner developers and curious creators, this course requires only basic HTML and introductory JavaScript knowledge—no prior machine learning experience is necessary. Start building your first intelligent web application today.