Arduino_TensorFlowLite

Data Processing

Allows you to run machine learning models locally on your device.
This library runs TensorFlow machine learning models on microcontrollers, allowing you to build AI/ML applications powered by deep learning and neural networks. With the included examples, you can recognize speech, detect people using a camera, and recognise "magic wand" gestures using an accelerometer. The examples work best with the Arduino Nano 33 BLE Sense board, which has a microphone and accelerometer.

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Compatibility

This library is compatible with the architecture.

Releases

To use this library, open the Library Manager in the Arduino IDE and install it from there.