12-02, 13:30–14:00 (UTC), Talk Track II
A somewhat beginner's guide on running neural networks on micro-controllers, understanding the training pipeline, deployment and how to update the deployed model
Running neural networks on production systems is quite difficult but running it on microcontrollers is different. The choice of the microcontroller, presence of a purpose-built processor, data I/O, model training and inferencing - all things change when the target deployment scenario changes from a cloud instance to a power-constraints microcontroller. In this talk, I will go through how to go about it as a novice and get a model running.
Previous knowledge expected
I am an ML Engineer at Nunam where I build learning systems to keep li-ion batteries in EVs safe, sustainable and performant.