If you are interested in learning more about how you can use your Raspberry Pi and machine learning to expand your projects, you may be interested in a new tutorial published to the Hackster.io ...

Beyond mobile devices, TensorFlow Lite can work on things like Raspberry Pi (embedded Linux), edge TPUs (Hardware Accelerators), and microcontrollers, which allows for machine learning "on the edge".

Android app developers will soon have a specialized version of TensorFlow to work with on mobile devices. TensorFlow Lite, which will be part of the TensorFlow open source project, will let ...

Explaining how to get up to speed with your TensorFlow Lite kit. Check out the 10 minute tutorial video below or jump over to the official Adafruit online resource centre for more details.

Google says this new version of Teachable Machine was built using its in-house open source TensorFlow machine learning framework, as before.

This enables more reliable performance in any environment. TensorFlow lite drives home the point that Google cares about the nexus of AI and mobile devices.

Teachable Machine is an experiment from Google to bring a no-code and low-code approach to training AI models. Anyone with a modern browser and webcam can quickly train a model with no prior ...

Users will work with TensorFlow for software TensorFlow is a a machine learning platform that makes the entire process open source and available to the masses.

Google's Teachable Machine is no longer just a handy lesson in AI -- you can now put it to work. The tech giant has launched Teachable Machine 2.0 with the ability to use your machine learning ...

TensorFlow Lite machine learning on Arduino MKR WIFI 1010 Just the other day, I posted a blog on learning about Machine Learning via a Raspberry Pi and commenter Mike Bryant flagged an Arduino route ...