Chirale_TensorFLowLite

Data Processing

Allows you to run machine learning models locally on all Arduino boards with mbed or ESP32 architecture.
This library runs TensorFlow machine learning models on microcontrollers, allowing you to build AI/ML applications powered by deep learning and neural networks. This library is generated from TensorFlow Lite Micro and adapted for Arduino boards. Look at companion ArduTFLite library for a more conventional Arduino APIs.

Author: Chirale, TensorFlow Authors

Maintainer: Spazio Chirale

Read the documentation

Compatibility

This library is compatible with the mbed_nano, esp32, mbed_nicla, mbed_portenta, mbed_giga architectures so you should be able to use it on the following Arduino boards:

Compatibility Note

Note: while the library is supposed to compile correctly on these architectures, it might require specific hardware features that may be available only on some boards.

Releases

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