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".

Raspberry Pi 4 owners can now train their own custom models using Edge Impulse's cloud-based development platform for machine learning on edge devices.

When training is done, Teachable Machine lets you export your model so you can use it later, in your own app, from Javascript. By design, TensorFlow.js uses your GPU (if you have one) to train ...

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.

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 ...

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.

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 ...