Google's TensorFlow team makes it a whole lot easier to get AI up and running on a Raspberry Pi.

While TensorFlow Lite enables you to run complex models on a Raspberry Pi, there are inherent limitations due to the device’s hardware constraints.

If you have about 10 hours to kill, you can use [Edje Electronics’s] instructions to install TensorFlow on a Raspberry Pi 3. In all fairness, the amount of time you’ll have to babysit i… ...

A recent [TensorFlow] video shows an interview between [Jason Mayes] and [Paul Van Eck] about using TensorFlow.js with Node-RED to create machine learning applications for Raspberry Pi visually.

Raspberry Pi enthusiasts may be interested to know that the Google Machine learning software TensorFlow offering and artificial intelligence framework, will soon be available for the Raspberry Pi.

Since the Raspberry Pi AI HAT+ supports popular frameworks like TensorFlow and PyTorch, developers can easily build different AI-powered applications.

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.

This week, Google introduced a new kit for your project based on the Raspberry Pi Zero W board. It enables cloud-free image recognition.