在行動裝置和 IoT 裝置上部署機器學習模型
TensorFlow Lite 是一種開放原始碼深度學習架構，可在裝置端執行推論。
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.
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.