You Can Now Train Your Own AI For Apps And Websites With This Tool From Google

Aadhya Khatri - Nov 09, 2019


You Can Now Train Your Own AI For Apps And Websites With This Tool From Google

The best part is, the Teachable Machine 2.0 is free of charge and it will train AI locally, meaning none of your data will be shared elsewhere

Teachable Machine is no longer just a concept for teaching. It has made it to reality and you can now work with it. Google has released Teachable Machine 2.0 that allows you to apply your machine learning to websites, apps, and other projects.

The models can be uploaded if you would rather work online, or saved to your computer for the on-device experience. So in short, you can create your own AI-enabled apps without making an artificial intelligence from scratch on your own.

Users can train AI models with not just webcam images, but with poses, sounds, and photos. You can upload your data if you have some, as well as train up to three classes for each model if that is necessary.

AI-Google-teaching
Users can train AI models with not just webcam images, but with poses, sounds, and photos

The best part is, the Teachable Machine 2.0 is free of charge and it will train AI locally, meaning none of your data will be shared elsewhere. There are more sophisticated systems out there but Google does not want its offer to be too complicated.

In essence, it is still an educational tool. And the fact that it can be used for real projects now makes it more useful in demonstrating the concepts of AI.

Its simplicity has made the Teachable Machine is a quick and fun tool to help people see for themselves how AI actually works without learning too much about code. Even children can train their own artificial intelligence but the tool has enough new concepts to demonstrate to appeal to an adult.

AI-system-sounds
You can train the system with sounds too

Teachable Machine shows the growing importance of recognizing patterns nowadays. It can do simple tasks like identifying objects and faces in photos as well as powering IBM’s Watson and other supercomputers.

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