An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.
TensorFlow Lite is an open source deep learning framework for on-device inference. See the guide. Guides explain the concepts and components of TensorFlow ...
The TensorFlow Lite for Microcontrollers Experiments collection features work by developers who are experimenting with TensorFlow Lite for Microcontrollers.
With TensorFlow Lite, the Google TensorFlow team has introduced the next evolution of the TensorFlow Framework, specifically designed to enable machine learning ...
TensorFlow Lite for Microcontrollers is a port of TensorFlow Lite designed to run machine learning models on DSPs, microcontrollers and other devices with ...
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. Learn how to use TensorFlow Lite for common use cases.
06.02.2020 · TensorFlow Lite takes existing TensorFlow models and converts them into an optimized and efficient version in the form of a .tflite file. The streamlined model is small enough to be stored on devices and sufficiently accurate to conduct suitable inference.
27.05.2021 · TensorFlow Lite is suitable for powerful devices, but it comes with the drawback of the larger workload on the processor. Although the TensorFlow Lite Micro has small size files prone to underfitting, optimising the file size that fits the memory can significantly improve output for low power and low processing hardware such as microcontrollers.