Video Guide: NanoEdge AI Studio¶
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¶
Useful links:
- Cartesiam's Website
- For technical issues, please create a ticket using the Freshdesk platform.
- For any question, contact us at support@cartesiam.com.
- For commercial enquiries, reach us via contact@cartesiam.com.
Older video resources (outdated, v0.3.0 Beta)¶
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].