This example is designed to demonstrate the absolute basics of using TensorFlow Lite for Microcontrollers. It includes the full end-to-end workflow of training a model, converting it for use with TensorFlow Lite, and running inference on a microcontroller.
The sample is built around a model trained to replicate a sine function. It contains implementations for several platforms. In each case, the model is used to generate a pattern of data that is used to either blink LEDs or control an animation.
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