Deploy machine learning models on mobile and IoT devices
TensorFlow Lite is an open source deep learning framework for on-device inference.
How it works
Pick a model
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.
Solutions to common problems
Explore optimized models to help with common mobile and edge use cases.
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.