Effective Approaches for Improving the Efficiency of Deep Convolutional Neural Networks for Image Classification

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Effective Approaches for Improving the Efficiency of Deep Convolutional Neural Networks for Image Classification - TDX:4167

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https://hdl.handle.net/20.500.11797/TDX4167

Date:	2022-11-21 2022-12-15T15:42:16Z 2022-12-15T15:42:16Z
Departament/Institute:	Departament d'Enginyeria Informàtica i Matemàtiques Universitat Rovira i Virgili.
Director:	Puig Valls, Domènec Savi Abdelnasser Mohamed Mahmoud, Mohamed Romaní Also, Santiago
Author:	Schwarz Schuler, Joao Paulo
Title:	Effective Approaches for Improving the Efficiency of Deep Convolutional Neural Networks for Image Classification

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File	Description	Format
Memoria	Memory	application/pdf

Type:	info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/doctoralThesis
Contributor:	Departament d'Enginyeria Informàtica i Matemàtiques Universitat Rovira i Virgili.
Títol:	Effective Approaches for Improving the Efficiency of Deep Convolutional Neural Networks for Image Classification
Language:	eng
Subject:	62 004 Enginyeria i arquitectura neural networks computer vision deep learning redes neuronales visión computacional aprendizaje profundo xarxes neuronals visió computacional aprenentatge profund
Format:	application/pdf 116 p.
Creator:	Schwarz Schuler, Joao Paulo
Rights:	info:eu-repo/semantics/openAccess
Date:	2022-11-21 2022-12-15T15:42:16Z 2022-12-15T15:42:16Z
Publisher:	Universitat Rovira i Virgili
Subject:	62 004 Enginyeria i arquitectura neural networks computer vision deep learning redes neuronales visión computacional aprendizaje profundo xarxes neuronals visió computacional aprenentatge profund
Language:	eng
Publisher:	Universitat Rovira i Virgili
Source:	TDX (Tesis Doctorals en Xarxa)
Identifier:	http://hdl.handle.net/10803/687281
Format:	application/pdf 116 p.
Keywords:	neural networks computer vision deep learning redes neuronales visión computacional aprendizaje profundo xarxes neuronals visió computacional aprenentatge profund

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