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Teachable Machine is a user-friendly web-based tool that allows anyone to create machine learning models without the need for expertise or coding. Users can train models to recognize images, sounds, and body positions using files or live examples. The models can be quickly trained, adjusted, and exported in different formats for use in various projects, such as Coral and Arduino. Teachable Machine is flexible, respects users' privacy, and works with tools like Glitch, P5.js, and Node.js. With Teachable Machine, users can create unique and innovative projects with machine learning, making it an accessible and enjoyable experience for all.

Teachable Machine Features

  • User-friendly interface: Teachable Machine has a simple and intuitive interface that makes it easy for users to create machine learning models.
  • Flexibility: Users can use files or live examples to train their models, and they can choose to use it entirely on-device without any webcam or microphone data leaving their computer.
  • Multiple project types: Teachable Machine can be used to create models for image classification, audio classification, and body position recognition, allowing users to work on a variety of projects.
  • Quick training: Teachable Machine allows users to train their models quickly and easily, with the option to adjust settings and parameters to fine-tune their models.
  • Exporting: Users can export their models in different formats for use in various projects, such as Coral and Arduino.
  • Compatibility: The models created with Teachable Machine are real TensorFlow.js models that work with tools like Glitch, P5.js, and Node.js.
  • DIY projects: Teachable Machine has been used in various DIY experiments and projects, allowing users to create unique and innovative projects with machine learning.
  • Accessibility: Teachable Machine makes creating machine learning models accessible to everyone, regardless of their coding or machine learning expertise.
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