Teachable Machine

Teachable Machine is a web-based tool that helps people create machine learning models quickly and easily. With Teachable Machine, anyone can train a computer to recognize their own images, sounds, and poses. The tool is flexible and respectful of users' time by letting them choose whether to use files or capture examples live for the models they create. What's more, Teachable Machine is entirely on-device, which means that users don't have to upload webcam or microphone data to external servers.

The steps to using Teachable Machine are straightforward: gather and group examples into classes that the computer can learn, train the model, and then export it for use in various projects, such as websites and apps. Once a model is created, it can be downloaded or hosted online, offering users further flexibility.

Teachable Machine is a versatile tool that can be used to teach models to classify images, audio, and body positions. It comes with tutorials that help users create various models, including one that can tell if a banana is ripe, one that detects simple sounds, and one that recognizes which way a person tilts their head.

Teachable Machine is part of TensorFlow.js, which means the models it creates work anywhere JavaScript runs. The models can be exported to different formats, such as Coral and Arduino, making them highly usable across platforms.

The tool has captured the attention of many learners and educators. It has been used in AI and ethics lessons as a way to teach students about bias in algorithmic systems. It has also been used to create interactive systems that involve dancing and to explore machine learning concepts and their societal impact.

Teachable Machine has received positive reviews from many users who have found it to be a magical machine learning tool. They have used it to train their computers to recognize different objects and to augment their video calls. The tool has gained popularity on Twitter, with users sharing their experiences using the hashtag #teachablemachine.