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Optimization of Convolutional Neural Networks for Embedded Object Detection in an Industrial Assembly Line

Andres Hernando Munoz Herrera

Optimization of Convolutional Neural Networks for Embedded Object Detection in an Industrial Assembly Line.

Rel. Massimo Poncino, Daniele Jahier Pagliari. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2019

Abstract:
Relators: Massimo Poncino, Daniele Jahier Pagliari
Academic year: 2019/20
Publication type: Electronic
Number of Pages: 72
Additional Information: Tesi secretata. Fulltext non presente
Subjects:
Corso di laurea: Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro)
Classe di laurea: New organization > Master science > LM-27 - TELECOMMUNICATIONS ENGINEERING
Aziende collaboratrici: SANTER Reply S.p.a.
URI: http://webthesis.biblio.polito.it/id/eprint/13087
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