000			01523naa a2200265 a 4500
003			AR-LpUFIB
005			20250311170511.0
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