TinyML-edx

Things to Consider for your Data Collection Plan As you make a plan to collect data for a custom key

If you take a few minutes to look around the room you’re in, you’ll no doubt recognize the prolifera

In this reading, we will deploy the Arduino Blink example to make sure everything is working properl

In this reading, we will walk through setting up the software you’ll need for this course, the Ardui

This reading will walk you through setting up your hardware whether you purchased the TinyML Kit or

Embedded Systems In this reading, we will explore the diversity of embedded systems.

The growth of social media has heralded an era of online data sharing, wherein the majority of daily

This notebook demonstrates the process of training a 2.5 kB model using TensorFlow and converting it

In this Colab, we’ll dig a little deeper into the TensorFlow Lite Flatbuffer file format. We’ll load

There are four overarching design principles that TFMicro was built upon in order to address some of

Given the limited resources available on microcontroller units (MCUs), it is paramount for us as fut

In working with the Nano 33 BLE Sense, you have interacted with some of the underlying layers betwee

While some of the TensorFlow Lite Micro capable development boards feature onboard sensors, others d

Microcontrollers sit at the bottom of the computing hardware hierarchy, at least in terms of computa

The Serial Monitor & Plotter The Serial Monitor & Plotter are two core tools that you can use to get

In this reading, we are going to walk through deploying the ‘Hello World’ example provided in the Te

Real and Synthetic Data Oftentimes, data is the limiting factor and in turn dictates model performan

Possibly the greatest impact of tinyML is likely to occur in industrial sectors. The technology is l

One of the promises of machine learning is that it can potentially offer a superior alternative to h

Visual Wake Words Visual Wake Words represents a common TinyML visual use case of identifying whethe