Teachable Machine

What is Teachable Machine

Teachable Machine is a web-based tool that allows users to create machine learning models without any coding or expertise required. It offers flexibility in teaching the machine with options to use files or capture examples live through webcam or microphone. Users can train their models to classify images, sounds, and poses, and then export them for use in various projects such as websites and apps. The tool is compatible with TensorFlow, ML, p5.js, Coral, Framr, node.js, Glitch, and can be used for educational purposes with accompanying lessons and activities.

Key Features of Teachable Machine

- Machine Learning Simplified: Teachable Machine enables anyone to create machine learning models quickly and easily without requiring expertise or coding knowledge.

- Supported Formats: Works with various technologies such as TensorFlow, p5.js, Coral, Framr, node.js, Glitch, and Arduino, facilitating seamless integration and export.

- Flexible Training Options: Allows you to use files or capture examples live through images, sounds, and poses, providing flexibility in your model training process.

- User Privacy: Offers the option to use the tool entirely on-device, ensuring that no webcam or microphone data leaves your computer.

- User-Friendly Workflow: A simple three-step process to gather data, train the model, and export it for use in sites, apps, and other projects.

- Diverse Application: Models created are real TensorFlow.js models that work anywhere JavaScript runs, with compatibility for further export to formats like Coral and Arduino.

- Educational Resources: Provides tutorials and lesson plans to aid in learning about machine learning and its ethical implications, catering to K-12 and higher education.

- Creative Examples: Showcases projects made with Teachable Machine, such as DIY experiment connections with Arduino, controlling games, communicating via facial gestures, and sorting objects.

- Interactive Learning: Features hands-on tutorials for image classification, sound detection, and pose recognition, making the learning process engaging and effective.

- Innovative Teaching Tool: Used in educational settings to help students understand machine learning, classification, and the societal impact of AI.