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 ...

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 ...

This document discusses how to safely deal with untrusted programs (models or model parameters), and input data. Below, we also provide guidelines on how to report vulnerabilities in TensorFlow. At ...

It's possible to create neural networks from raw code. But there are many code libraries you can use to speed up the process. These libraries include Microsoft CNTK, Google TensorFlow, Theano, PyTorch ...