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    TensorFlow Lite for Microcontrollers

    TensorFlow Lite for Microcontrollers

    Infrastructure to enable deployment of ML models

    TensorFlow Lite for Microcontrollers is a TensorFlow Lite runtime designed for running machine learning models on tiny embedded devices. It targets microcontrollers, DSPs, and other resource-constrained hardware where memory, compute, and power are limited. The project enables on-device inference without depending on an operating system, standard C or C++ libraries, or dynamic memory allocation. It is useful for applications such as wake-word detection, sensor analysis, gesture recognition,...
    Downloads: 1 This Week
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