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NEAI Studio walkthrough

v0.3.0 BĂȘta - 15/01/2020

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 NEAI Studio

0. Creating a new project

Video link: https://vimeo.com/384485161/778b655953

1. Modifying an existing project

Video link: https://vimeo.com/384485188/7112f997da

2. Importing a regular signals file

Video link: https://vimeo.com/384485200/37b7e36f70

3. Importing an abnormal signals file

Video link: https://vimeo.com/384485210/dc5b07406d

4. Starting and monitoring the benchmark process

Video link: https://vimeo.com/384485230/e833c371b8

5. Testing the selected static library

Video link: https://vimeo.com/384485249/da4925f1a7

6. Deploying the selected static library

Video link: https://vimeo.com/384486756/1e48fbd3f3

Resources

All NanoEdge AI Studio documentation is available here.

Step-by-step tutorials, to use NanoEdge AI Studio to build a smart device from A to Z:

Useful links: