Deploy machine learning models on mobile and IoT devices

TensorFlow Lite is an open source deep learning framework for on-device inference.

Guides explain the concepts and components of TensorFlow Lite.

Explore TensorFlow Lite Android and iOS apps.

Easily deploy pre-trained models.

Pick a new model or retrain an existing one.

Convert a TensorFlow model into a compressed flat buffer with the TensorFlow Lite Converter.

Take the compressed .tflite file and load it into a mobile or embedded device.

Quantize by converting 32-bit floats to more efficient 8-bit integers or run on GPU.

Identify hundreds of objects, including people, activities, animals, plants, and places.

Detect multiple objects with bounding boxes. Yes, dogs and cats too.

Use a state-of-the-art natural language model to answer questions based on the content of a given passage of text with BERT.

How it works