![]() Microcontrollers, such as those used on Arduino boards, are low-cost, single chip, self-contained computer systems. Note: the following projects are based on TensorFlow Lite for Microcontrollers which is currently experimental within the TensorFlow repo. This material is based on a practical workshop held by Sandeep Mistry and Don Coleman, an updated version of which is now online.Įxample 2: Training your own gesture classification model. Next, we’ll introduce a more in-depth tutorial you can use to train your own custom gesture recognition model for Arduino using TensorFlow in Colab. ![]() The first tutorial below shows you how to install a neural network on your Arduino board to recognize simple voice commands.Įxample 1: Running the pre-trained micro_speech inference example. In this article, we’ll show you how to install and run several new TensorFlow Lite Micro examples that are now available in the Arduino Library Manager. ![]() We’ve been working with the TensorFlow Lite team over the past few months and are excited to show you what we’ve been up to together: bringing TensorFlow Lite Micro to the Arduino Nano 33 BLE Sense. A guest post by Sandeep Mistry & Dominic Pajak of the Arduino teamĪrduino is on a mission to make Machine Learning simple enough for anyone to use.
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