a. Choose your microcontroller type
b. (ARM® Cortex® M0 to M7)
c. Choose the maximum amount of RAM that you wish to allocate to your library
d. Choose the sensor type used to collect data
NanoEdge Ai Studio uses both regular and abnormal datasets to test several machine learning model’s performance against your data, Along with a multitude of different (hyper) parameters and signal processing algorithms.
With NanoEdge AI Emulator, you can emulate the behavior of your custom NanoEdge AI Library directly on your PC, as if the library was running on your microcontroller.
Choose your compilation flags and download your final static library ready to learn and infer in your microcontroller.