Converter: This program converts the model to the TensorFlow Lite file format. Model File: A model file format based on FlatBuffers , optimized for speed and size.

TensorFlow Lite enables low-latency inference of on-device machine learning ... a new FlatBuffers-based model file format, an on-device interpreter with kernels, the TensorFlow converter, ...

The basic idea of TensorFlow Lite is that you train a full-blown TensorFlow model and convert it to the TensorFlow Lite model format. Then you can use the converted file in your mobile application ...

compile ‘org.tensorflow:tensorflow-lite:+’ Next, you need to import your interpreter. This is the code that will actually load the model and let you run it.

A TensorFlow 2.0 model converter to make Lite models will be made available for developers to better understand how things wrong in the conversion process and how to fix it.

Google today announced TensorFlow Lite Model Maker, a tool that adapts state-of-the-art machine learning models to custom data sets using a technique known as transfer learning.It wraps machine ...

Google announced new tooling for their TensorFlow Lite deep-learning framework that reduces the size of models and latency of inference. The tool converts a trained model's weights from floating ...

With TensorFlow Lite, ... This makes it possible to train the model once and deploy it to an Android phone, Raspberry Pi, Jetson Nano, EdgeTPU or even an ESP32 microcontroller.