MbedML: A Machine Learning Project for Embedded Systems

dc.creatorEstrebou, César Armando
dc.creatorFleming, Martín
dc.creatorSaavedra, Marcos David
dc.creatorAdra, Federico
dc.date2021
dc.date2021
dc.date2021-09-20T12:11:05Z
dc.date.accessioned2023-07-15T03:25:34Z
dc.date.available2023-07-15T03:25:34Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/125142
dc.identifierisbn:978-950-34-2016-4
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7465664
dc.descriptionThis 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.
dc.descriptionFacultad de Informática
dc.formatapplication/pdf
dc.format25-28
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.subjectCiencias Informáticas
dc.subjectMachine learning
dc.subjectEmbedded Systems
dc.subjectInternet of Things
dc.subjectConvolutional Neural Networks
dc.titleMbedML: A Machine Learning Project for Embedded Systems
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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