elektormagazine

TensorFlow Lite for Microcontrollers: An Introduction

With TensorFlow Lite for Microcontrollers, you can run machine learning models on resource-constrained devices. Want to learn more? You can use it with Edge Impulse for speech recognition on an ...
GitHub

limengdu/tflite-micro-reSpeaker-Lite-arduino-examples

The officially supported TensorFlow Lite Micro library for Arduino resides in the tflite-micro-arduino-examples GitHub repository. To install the in-development version of this library, you can use ...
Electronics Weekly

TensorFlow Lite machine learning on Arduino MKR WIFI 1010

Just the other day, I posted a blog on learning about Machine Learning via a Raspberry Pi and commenter Mike Bryant flagged an Arduino route for voice recognition, and now I've just clocked a tweet ...
elektormagazine

TensorFlow Lite on Small Microcontrollers

TensorFlow Lite for Microcontrollers enables running machine learning models on small, resource-constrained devices. Let’s take a closer look, and use it together with Edge Impulse for speech ...
GitHub

TensorFlow Lite Micro Library for Arduino

This is a port of the TensorFlow Lite Micro Library to the Arduino platform, aimed at enabling Tiny Machine Learning (TinyML) experiments on all Arduino boards with mbed or ESP32 architecture. Tested ...
Hackaday

Tensorflow Lite

That’s what the marketing seems to read like for artificial intelligence companies. Everyone seems to have cloud-scale AI-powered business intelligence analytics at the edge. While sounding impressive ...
Geeky Gadgets

Raspberry Pi machine learning with TensorFlow Lite

If you are interested in learning more about how you can use your Raspberry Pi and machine learning to expand your projects, you may be interested in a new tutorial published to the Hackster.io ...