機械学習モデルをモバイル デバイスや IoT デバイスにデプロイします
TensorFlow Lite は、デバイス上での推論を可能にする、オープンソースのディープ ラーニング フレームワークです。
仕組み
よくある問題への解決策
Explore optimized TF Lite models and on-device ML solutions for mobile and edge use cases.
TensorFlow Lite ユーザーのご紹介
Visit the site to see projects combining Arduino and TensorFlow to create awesome experiences and useful tools. Find helpful links for creating your own experiments and learn how you can participate in the TF Micro Challenge.
Learn how to train a custom object detection model and deploy it to an Android app with just a few lines of code. All you need are Android Studio and a web browser. No machine learning knowledge is required.
Discover solutions to help you integrate machine learning in your mobile and web apps, and new Google Developers learning pathways to guide you through common ML scenarios and custom use cases.
To bridge the gap between mobile and web ML development, you can easily deploy the TensorFlow Lite Task Library to the web with the power of WebAssembly.