../_images/cartesiam_logo.png

Video Guide: NanoEdge AI Studio

../_images/banner.png

I. Purpose of NanoEdge AI Studio

NanoEdge AI (NEAI) contains a range of machine learning models, and each of those models can be optimized by tuning a range of (hyper)parameters. This results in a very large number of potential combinations (static libraries), each one being tailored for a specific application.

NEAI Studio’s purpose is to select the best NEAI static library possible for your final hardware application. This static library is the piece of code that contains the most relevant machine learning model to your application, tuned with the optimal parameters.

Each NEAI static library is the result of the benchmark of virtually all possible combinations against the datasets given by the user (the comparison of all possible methods of learning, given the user’s data).


II. Using NanoEdge AI Studio

Here’s a video that guides you through NanoEdge AI Studio, and shows you how to make a smart vibration sensor from A to Z, quickly and easily! Launch the Studio, log some data, benchmark libraries, test the best one, download it, and embed it on your microcontroller in less than an hour.

Video: YouTube link.


Resources

Documentation
All NanoEdge AI Studio documentation is available here.
Tutorials
Step-by-step tutorials, to use NanoEdge AI Studio to build a smart device from A to Z:

Useful links:


Older video resources (outdated, v0.3.0 Beta)

0. Creating a new project

Video links: Vimeo [0].

1. Modifying an existing project

Video links: Vimeo [1], YouTube [1].

2. Importing a regular signals file

Video links: Vimeo [2], YouTube [2].

3. Importing an abnormal signals file

Video links: Vimeo [3], YouTube [3].

4. Starting and monitoring the benchmark process

Video links: Vimeo [4], YouTube [4].

5. Testing the selected static library

Video links: Vimeo [5], YouTube [5].

6. Deploying the selected static library

Video links: Vimeo [6], YouTube [6].