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Optimization of Deep Neural Networks Using SoCs with OpenCL

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Optimization of Deep Neural Networks Using SoCs with OpenCL

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Gadea Gironés, R.; Colom Palero, RJ.; Herrero Bosch, V. (2018). Optimization of Deep Neural Networks Using SoCs with OpenCL. Sensors. 18(5). https://doi.org/10.3390/s18051384

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/121267

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Title: Optimization of Deep Neural Networks Using SoCs with OpenCL
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Issued date:
Abstract:
[EN] In the optimization of deep neural networks (DNNs) via evolutionary algorithms (EAs) and the implementation of the training necessary for the creation of the objective function, there is often a trade-off between ...[+]
Subjects: Evolutionary computation , Embedded system , FPGA , Deep neural networks , OpenCL,SoC
Copyrigths: Reconocimiento (by)
Source:
Sensors. (eissn: 1424-8220 )
DOI: 10.3390/s18051384
Publisher:
MDPI AG
Publisher version: http://doi.org/10.3390/s18051384
Thanks:
This research was funded by Spanish Agency of Research grant number FPA2016-78595-C3-3-R.
Type: Artículo

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