Normal view MARC view ISBD view

MbedML : a machine learning project for embedded systems

By:

Estrebou, César Armando

Contributor(s):

Material type: Article

ArticleDescription: 1 archivo (776,0 kB)Subject(s):

Online resources:

Click here to access online

Summary: This 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.

Average rating: 0.0 (0 votes)

Holdings ( 1 )
Title notes ( 3 )

Holdings
Item type	Home library	Collection	Call number	URL	Status	Date due	Barcode
Capítulo de libro	Biblioteca de la Facultad de Informática	Biblioteca digital	A1186 (Browse shelf(Opens below))	Link to resource	No corresponde

Browsing Biblioteca de la Facultad de Informática shelves, Collection: Biblioteca digital Close shelf browser (Hides shelf browser)

Previous								Next
Previous	A1183 Towards ubiquitous and actionable augmented reality browsers by using semantic web technologies	A1184 Optimization of throughput, fairness and energy efficiency on asymmetric multicore systems via OS scheduling.	A1185 Implementation of the Single Equine Document (DUE) in the Province of Buenos Aires	A1186 MbedML : a machine learning project for embedded systems	A1187 Hybrid elastic ARM&cloud HPC collaborative platform for generic tasks	A1188 SMOTE-BD : an exact and scalable oversampling method for imbalanced classification in big data	A1189 Análisis funcional de la pila de software de E/S paralela utilizando IaaS	Next

Formato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)

This 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.

Jornadas de Cloud Computing, Big Data & Emerging Topics (9na : 2021 : La Plata, Argentina)