MbedML: A Machine Learning Project for Embedded Systems
César Armando Estrebou, Martín Fleming, Marcos David Saavedra, Federico Adra · El Servicio de Difusión de la Creación Intelectual (National University of La Plata) · 2021
This article describes the tasks being carried out within the framework of a research and development project on machine learning techniques and algorithms applied to small devices. It includes a brief review of the available technologies, online development platforms, work methodology and open source software for the implementation of solutions. Experiments carried out on a proper implementation of an inference algorithm for convolutional neural networks are also presented with interesting preliminary results regarding existing implementations.