TensorFlow Lite Micro (TinyML) é uma versão do TensorFlow adaptada para execução em microcontroladores com recursos limitados. Ele permite que modelos de ML sejam implementados sem sistemas ...

This repository contains the source code for a Smart Dustbin project that utilizes computer vision, machine learning, and IoT technologies to automatically segregate waste into biodegradable and ...

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 ...

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 ...

A question: if you’re controlling the classic video game Street Fighter with gestures, aren’t you just, you know, street fighting? That’s a question [Charlie Gerard] is going to have to tackle should ...

Build cutting edge machine and deep learning systems for the lab, production, and mobile devices. Purchase of the print or Kindle book includes a free eBook in PDF format. Deep Learning with ...