Raspberry Pi 4が発売されたとき、私はエッジでの機械学習を目的とした新世代のアクセラレータハードウェアのためにまとめてきたベンチマークを更新するために座った。 残念ながら、Raspberry Pi 4のリリースに対応したTensorFlowホイールのバージョンがありまし ...

Google Coral USBアクセラレーターは、Linuxホストコンピューター（Raspberry Piを含む）に接続すると、機械学習モデルの推論を非常に高速化するエッジテンソルプロセッシングユニット（TPU）を提供するUSBデバイスです。 前のチュートリアルで、Raspberry Piアプリの ...

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 ...

You might think that you do not have what it takes to build a self-driving car, but you’re wrong. The mistake you’ve made is assuming that you’ll be controlling a two-ton death machine. Instead, you ...

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 ...

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.

Getting computers to recognize objects has been a historically difficult problem in computer science, but with the rise of machine learning it is becoming easier to solve. One of the tools that can be ...

Following all the steps, it went smoothly UNTIL the ./compile.sh part! It gave me an error within a few minutes with Java. After trying different approaches I used ...