Teachable Machine

About Teachable Machine

Teachable Machine is a user-friendly platform designed for anyone interested in machine learning. Its innovative feature allows users to train models based on images, sounds, and poses, providing an engaging way to learn AI. Ideal for educators, hobbyists, and creatives wanting to explore AI technology effectively.

Teachable Machine offers a free-to-use platform with optional premium features for advanced functionalities. While the core tool is free, users may find specialized resources or projects available for purchase. Upgrading can unlock advanced capabilities, enhancing your machine learning experience on the platform.

Teachable Machine features a clean, intuitive interface designed for seamless navigation. Users will enjoy easy access to tools that allow them to train machine learning models efficiently. A user-centric design ensures even beginners can fluidly explore the platform, making AI accessible to everyone.

How Teachable Machine works

Users start by gathering examples into classes they want to train with on Teachable Machine. After collecting the data, they proceed to train their model, instantly testing its accuracy in classifying new inputs. The process is seamless, allowing easy export of models for diverse projects, making AI accessible even to beginners.

Key Features for Teachable Machine

Model Training

Teachable Machine's model training feature allows users to create custom models effortlessly. Users can gather data from various sources—images, sounds, or poses—and train the model instantaneously, enabling a hands-on learning experience without the need for programming knowledge.

Live Data Capture

Teachable Machine offers a unique live data capture feature, allowing users to train models using real-time inputs from their webcam or microphone. This interactive approach enhances learning and provides immediate feedback, making experimentation with machine learning fun and engaging.

Project Exporting

Teachable Machine enables seamless project exporting, allowing users to download their trained models in various formats. This flexibility ensures users can integrate their AI creations with different platforms, enhancing their projects and broadening the application of their machine learning skills.