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008 230201s2021 xx o 000 0 eng d
024 8 _aDIF-M8326
_b8546
_zDIF007619
040 _aAR-LpUFIB
_bspa
_cAR-LpUFIB
100 1 _aEstrebou, César Armando
245 1 0 _aMbedML :
_ba machine learning project for embedded systems
300 _a1 archivo (776,0 kB)
500 _aFormato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
520 _aThis 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.
534 _aJornadas de Cloud Computing, Big Data & Emerging Topics (9na : 2021 : La Plata, Argentina) 
650 4 _aAPRENDIZAJE AUTOMÁTICO
650 4 _aINTERNET DE LAS COSAS
650 4 _aSISTEMAS EMBEBIDOS
700 1 _aFleming, Martín
700 1 _aSaavedra, Marcos David
700 1 _aAdra, Federico
856 4 0 _uhttp://sedici.unlp.edu.ar/handle/10915/121564
942 _cCP
999 _c57392
_d57392