MbedML: A Machine Learning Project for Embedded Systems
Year: 2021
Type: conference-paper
Abstract: 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.
Institution: Universidad Nacional de La Plata
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3200434883
