Teachable Machine is the open-source implementation of an experimental machine learning tool created by Google Creative Lab that allows users to train simple machine learning models directly in a web browser. The project demonstrates how neural networks can be trained interactively using images captured from a webcam or other inputs without requiring programming knowledge. Users can provide example images for different categories, and the system trains a model that learns to classify those inputs in real time. The project is built using web technologies and the TensorFlow.js ecosystem, enabling machine learning models to run locally within the browser environment. Because the training occurs locally, the system can respond quickly to new examples and provide immediate feedback to users.
Features
- Browser-based machine learning experimentation environment
- Training image classification models using webcam input
- Real-time feedback during interactive model training
- Implementation built with TensorFlow.js technologies
- No coding required for basic machine learning experimentation
- Educational demonstration of neural network training concepts