EMEA 2021 https://www.tinyml.org/event/emea-2021
EON Tuner: An AutoML pipeline for real-world embedded devices
Jan JONGBOOM, CTO, Edge Impulse
Finding the best ML model for analyzing sensor data is not easy. What preprocessing steps yield the best results? What signal processing parameters should you pick? And what ML model to use? This is even more true when the resulting model needs to run on a microcontroller where you have latency, memory and power constraints. AutoML tools can help, but typically only look at just the neural networks – disregarding the big role preprocessing and signal processing play for TinyML. In this hands-on session we’ll look at the EON Tuner, a new tool available to all Edge Impulse developers, and how to use it to pick the best model within the constraints of your device.