Teachable Machine

What is Teachable Machine?

Teachable Machine is a user-friendly, web-based tool developed by Google that simplifies the creation of machine learning models. It's designed to be accessible to everyone, regardless of their coding experience. This tool allows users to train a computer to recognize images, sounds, and poses quickly and easily.

How does Teachable Machine work?

Teachable Machine simplifies the machine learning process into three straightforward steps:

1. Gather: Collect and organize your examples into distinct classes or categories that you want the computer to learn.
2. Train: Train your model using the gathered data and instantly test it to see if it can accurately classify new examples.
3. Export: Export your trained model for use in your projects, including websites, apps, and more. You can download the model or host it online.

What can you teach Teachable Machine?

Teachable Machine offers flexibility in how you teach it, allowing you to use files or capture examples live. It respects your workflow and even provides an option to use it entirely on-device, ensuring that webcam or microphone data never leaves your computer. Here's what you can teach:

• Images: Classify images using files or your webcam.
• Sounds: Classify audio by recording short sound samples.
• Poses: Classify body positions using files or live webcam input.

Examples of projects made with Teachable Machine

• Tiny Sorter: A DIY experiment connecting Arduino and Teachable Machine.
• Project Euphonia: Steve Saling uses Teachable Machine to communicate through facial gestures.
• Teachable Snake: Vince MingPu Shao created a game controller using a webcam, a piece of paper, and Teachable Machine.

Who is Teachable Machine for?

Teachable Machine is for educators, students, artists, makers, and anyone who wants to explore the possibilities of machine learning without needing a background in coding or complex mathematics. It's perfect for:

• Educators: To introduce AI and machine learning concepts in an accessible way.
• Students: To create interactive projects and explore AI applications.
• Artists and Makers: To integrate machine learning into creative projects and interactive installations.
• Developers: To quickly prototype and test machine learning models before implementing them in larger projects.

Why choose Teachable Machine?

• Accessibility: No coding or machine learning expertise required.
• Speed: Quickly create and train models.
• Flexibility: Works with images, sounds, and poses.
• Integration: Models are compatible with JavaScript environments and can be exported to various formats.
• Privacy: Option to process data on-device.

Teachable Machine offers a practical approach to understanding and applying machine learning. Its intuitive interface and straightforward workflow make it an excellent choice for anyone looking to explore the world of AI and machine learning.

How to use Teachable Machine?

1. Go to the Teachable Machine website.
2. Choose a project type: Image Project, Audio Project, or Pose Project.
3. Gather your training data: Upload images, record audio samples, or capture poses using your webcam.
4. Train your model: Click the "Train Model" button and wait for the training process to complete.
5. Test your model: Use the preview panel to test your model with new data.
6. Export your model: Download your model or host it online for use in your projects.

FAQ

• What is TensorFlow.js? Teachable Machine models are real TensorFlow.js models that work anywhere JavaScript runs.
• Can I use Teachable Machine offline? Yes, you can choose to use it entirely on-device without any data leaving your computer.

By providing a simple, intuitive, and accessible platform for machine learning, Teachable Machine empowers users to create innovative projects and explore the potential of AI in various domains. Whether you're a teacher looking to introduce AI concepts in the classroom or an artist seeking to integrate machine learning into your creative endeavors, Teachable Machine provides the tools and resources you need to bring your ideas to life.