シングルボードのコンピュータ「Raspberry Pi」で、Googleの機械学習フレームワーク「TensorFlow」を利用するのがますます簡単になりそうだ。 開発者はすでに、Raspberry PiでTensorFlowをさまざまに活用し、深層学習モデルを追加して、画像分類などを行うことが可能 ...

Besides putting a Raspberry Pi to work on a mini Mars rover, it's now going to be a lot easier to use Google's TensorFlow artificial-intelligence framework with the low-powered computer. Developers ...

If you prefer to draw boxes instead of writing code, you may have tried IBM’s Node-RED to create logic with drag-and-drop flows. A recent [TensorFlow] video shows an interview between [Jason Mayes] ...

This repository continues from my last project where i built a custom object detector for my face using TensorFlow 2. Now i will export that model to TensorFlow 2 Lite so that i can run it on a ...

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 ...

The Google Coral USB Accelerator is a USB device that provides an Edge Tensor Processing Unit (TPU) to speed up machine learning model inference significantly when connected to a Linux host computer ...

The Raspberry Pi 4 is the most powerful Raspberry Pi to date, with it packing enough reserves to be used for machine learning. Now, you can put the popular SBC to use for automatically detected ...

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.

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 is about an hour ...