How to machine Learning on Arm Cortex-M MCUs
Machine learning (ML) algorithms are moving processing to the
As a result, interest is growing in developing neural network (NN) solutions to deploy ML on low-power
To help developers get a head start, Arm offers CMSIS-NN, an open-source library of optimized software kernels that maximize NN performance on Cortex-M processors with minimal memory overhead.
This guide to ML on Cortex-M
What’s included in this guide?
- Techniques to perform NN model search within a set of typical computer constraints of
- Methods too used to optimize the NN kernels in CMSIS-NN
- Ways to maximize NN performance on Cortex-M processors with the lowest memory footprint