TensorFlow Lite for Microcontrollers is an experimental port of TensorFlow Lite aimed at microcontrollers and other devices with only kilobytes of memory.
It is designed to be portable even to "bare metal" systems, so it doesn't require operating system support, any standard C or C++ libraries, or dynamic memory allocation. The core runtime fits in 16KB on a Cortex M3, and with enough operators to run a speech keyword detection model, takes up a total of 22KB.
~ TensorFlow Lite for Microcontrollers guide
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