000 | 01523naa a2200265 a 4500 | ||
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003 | AR-LpUFIB | ||
005 | 20250311170511.0 | ||
008 | 230201s2021 xx o 000 0 eng d | ||
024 | 8 |
_aDIF-M8326 _b8546 _zDIF007619 |
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040 |
_aAR-LpUFIB _bspa _cAR-LpUFIB |
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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 |