How To Do Machine Learning on Arm Cortex-M Microcontrollers
Machine learning (ML) algorithms are moving processing to the IoT device due to challenges with latency, power consumption, cost, network, bandwidth, reliability, security, and more.
As a result, interest is growing in developing neural network (NN) solutions to deploy ML on low-power IoT devices, for example with microcontrollers powered by proven Arm Cortex-M technology.
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.
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