TensorFlow Lite GitHub

Use Android Studio ML Model Binding

TensorFlow Lite is TensorFlow’s lightweight solution for mobile and embedded devices . It lets you run machine-learned models on mobile devices with low latency, so you can take advantage of them to do classification, regression or anything else you might want without necessarily incurring a round trip to a server.

TensorFlow is a multipurpose machine learning framework. TensorFlow can be used anywhere from training huge models across clusters in the cloud, to running models locally on an embedded system like your phone. This codelab uses TensorFlow Lite to run an image recognition model on an Android device .