Running TensorFlow models on Arduino microcontrollers #Arduino #TensorFlow

MicroFlow allows one to export and run TensorFlow models on Arduino microcontrollers.

Currently, tflite-micro can only run on high memory boards like the Nano 33 BLE. I wanted to make it possible to run TensorFlow models on boards even with low amounts of memory and make the process as simple as possible while still making it useful and efficient.

If eventually they do manage to make it possible to run tflite on low memory boards like the Uno then this library will become obsolete. Also, I wanted to brush up on linear algebra.

Train the model using TensorFlow on whatever system you like. You can refer to the training examples for sin and XOR here I will be using the XOR model for demonstration purposes. Currently only Multi-Layer Perceptrons (MLPs) are supported (Dense layers in keras).

Currently, this library is not available on the Arduino library manager. You can download the latest release at https://github.com/Bobingstern/MicroFlow/releases and at it to your sketch folder.

See more in the project GitHub repo.

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1 Comment

  1. Bobingstern
    March 16, 2022 at 7:29 am

    Wow it’s my library! For those wondering, MicroFlow is officially on the Arduino Library Manager now!

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Filed under: arduino, software, TensorFlow, TensorFlow Lite —
Tags: , — by Anne Barela

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