From the course: Machine Learning Foundations: Prototyping with Edge Impulse
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Deploying to Arduino - Arduino Tutorial
From the course: Machine Learning Foundations: Prototyping with Edge Impulse
Deploying to Arduino
- [Instructor] Now that you've tested your learning model on the computer, it's time to see how it performs on your development board. We're in the Edge Impulse Deployment tab again. Instead of testing our model in the browser, we want to generate an Arduino library to upload to our board. To specify output type, you can search deployment options. In our case, we'll search for and select Arduino. Once we've selected the Arduino library as our output, we have to build it by clicking the Build button. As the library is building, you can monitor progress in the output panel. When Edge Impulse has completed building the library, it will download through your browser. In my case, the library is saved to the desktop. You can see it's a single zip file. Next, we'll install the library in the Arduino IDE, then test an example application on your development board.
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