On The Efforts On Training Deep Neural Networks: Reducing Computational And Data-related Costs
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Tipo de documento: | Tese |
Idioma: | por |
Título da fonte: | Repositório Institucional da Universidade Federal do Espírito Santo (riUfes) |
Texto Completo: | http://repositorio.ufes.br/handle/10/15216 |
Resumo: | Nowadays, deep neural networks (DNN) are ubiquitous. Many of our daily problems have been solved or alleviated with the help of such models. It is important to note, though, that the success of these models is built on top of some drawbacks: they are data |
id |
UFES_7b7b2cc68c0879cbd7ac33fb527b130a |
---|---|
oai_identifier_str |
oai:repositorio.ufes.br:10/15216 |
network_acronym_str |
UFES |
network_name_str |
Repositório Institucional da Universidade Federal do Espírito Santo (riUfes) |
repository_id_str |
2108 |
spelling |
Santos, Thiago Oliveira doshttps://orcid.org/http://lattes.cnpq.br/5117339495064254Berriel, Rodrigo Ferreirahttps://orcid.org/000000026701893Xhttp://lattes.cnpq.br/Souza, Alberto Ferreira dehttps://orcid.org/0000000315618447http://lattes.cnpq.br/7573837292080522Goncalves, Claudine Santos Baduehttps://orcid.org/http://lattes.cnpq.br/1359531672303446Boldt, Francisco de Assishttps://orcid.org/http://lattes.cnpq.br/2024-05-30T00:50:09Z2024-05-30T00:50:09Z2021-09-28Nowadays, deep neural networks (DNN) are ubiquitous. Many of our daily problems have been solved or alleviated with the help of such models. It is important to note, though, that the success of these models is built on top of some drawbacks: they are dataAtualmente, redes neurais profundas (DNNs, do inglês Deep Neural Networks) estão em todos os lugares. Muitos dos nossos problemas diários têm sido resolvidos ou amenizados com a ajuda de tais modelos. No entanto, é importante ressaltar que o sucesso desseConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Texthttp://repositorio.ufes.br/handle/10/15216porUniversidade Federal do Espírito SantoDoutorado em Ciência da ComputaçãoPrograma de Pós-Graduação em InformáticaUFESBRCentro Tecnológicosubject.br-rjbnCiência da ComputaçãoPalavra-chaveOn The Efforts On Training Deep Neural Networks: Reducing Computational And Data-related CostsOn the Efforts in Training Deep Networks: Reducing Data-related and Computational Costsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)instname:Universidade Federal do Espírito Santo (UFES)instacron:UFESORIGINALRODRIGO FERREIRA BERRIEL.pdfapplication/pdf4685118http://repositorio.ufes.br/bitstreams/d89ad675-88ce-4e83-809d-4aaffcc31810/download8208e341f8b042a5d394fa916132358dMD5110/152162024-07-03 11:13:40.369oai:repositorio.ufes.br:10/15216http://repositorio.ufes.brRepositório InstitucionalPUBhttp://repositorio.ufes.br/oai/requestopendoar:21082024-07-03T11:13:40Repositório Institucional da Universidade Federal do Espírito Santo (riUfes) - Universidade Federal do Espírito Santo (UFES)false |
dc.title.none.fl_str_mv |
On The Efforts On Training Deep Neural Networks: Reducing Computational And Data-related Costs |
dc.title.alternative.none.fl_str_mv |
On the Efforts in Training Deep Networks: Reducing Data-related and Computational Costs |
title |
On The Efforts On Training Deep Neural Networks: Reducing Computational And Data-related Costs |
spellingShingle |
On The Efforts On Training Deep Neural Networks: Reducing Computational And Data-related Costs Berriel, Rodrigo Ferreira Ciência da Computação Palavra-chave subject.br-rjbn |
title_short |
On The Efforts On Training Deep Neural Networks: Reducing Computational And Data-related Costs |
title_full |
On The Efforts On Training Deep Neural Networks: Reducing Computational And Data-related Costs |
title_fullStr |
On The Efforts On Training Deep Neural Networks: Reducing Computational And Data-related Costs |
title_full_unstemmed |
On The Efforts On Training Deep Neural Networks: Reducing Computational And Data-related Costs |
title_sort |
On The Efforts On Training Deep Neural Networks: Reducing Computational And Data-related Costs |
author |
Berriel, Rodrigo Ferreira |
author_facet |
Berriel, Rodrigo Ferreira |
author_role |
author |
dc.contributor.authorID.none.fl_str_mv |
https://orcid.org/000000026701893X |
dc.contributor.authorLattes.none.fl_str_mv |
http://lattes.cnpq.br/ |
dc.contributor.advisor1.fl_str_mv |
Santos, Thiago Oliveira dos |
dc.contributor.advisor1ID.fl_str_mv |
https://orcid.org/ |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/5117339495064254 |
dc.contributor.author.fl_str_mv |
Berriel, Rodrigo Ferreira |
dc.contributor.referee1.fl_str_mv |
Souza, Alberto Ferreira de |
dc.contributor.referee1ID.fl_str_mv |
https://orcid.org/0000000315618447 |
dc.contributor.referee1Lattes.fl_str_mv |
http://lattes.cnpq.br/7573837292080522 |
dc.contributor.referee2.fl_str_mv |
Goncalves, Claudine Santos Badue |
dc.contributor.referee2ID.fl_str_mv |
https://orcid.org/ |
dc.contributor.referee2Lattes.fl_str_mv |
http://lattes.cnpq.br/1359531672303446 |
dc.contributor.referee3.fl_str_mv |
Boldt, Francisco de Assis |
dc.contributor.referee3ID.fl_str_mv |
https://orcid.org/ |
dc.contributor.referee3Lattes.fl_str_mv |
http://lattes.cnpq.br/ |
contributor_str_mv |
Santos, Thiago Oliveira dos Souza, Alberto Ferreira de Goncalves, Claudine Santos Badue Boldt, Francisco de Assis |
dc.subject.cnpq.fl_str_mv |
Ciência da Computação |
topic |
Ciência da Computação Palavra-chave subject.br-rjbn |
dc.subject.por.fl_str_mv |
Palavra-chave |
dc.subject.br-rjbn.none.fl_str_mv |
subject.br-rjbn |
description |
Nowadays, deep neural networks (DNN) are ubiquitous. Many of our daily problems have been solved or alleviated with the help of such models. It is important to note, though, that the success of these models is built on top of some drawbacks: they are data |
publishDate |
2021 |
dc.date.issued.fl_str_mv |
2021-09-28 |
dc.date.accessioned.fl_str_mv |
2024-05-30T00:50:09Z |
dc.date.available.fl_str_mv |
2024-05-30T00:50:09Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufes.br/handle/10/15216 |
url |
http://repositorio.ufes.br/handle/10/15216 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
Text |
dc.publisher.none.fl_str_mv |
Universidade Federal do Espírito Santo Doutorado em Ciência da Computação |
dc.publisher.program.fl_str_mv |
Programa de Pós-Graduação em Informática |
dc.publisher.initials.fl_str_mv |
UFES |
dc.publisher.country.fl_str_mv |
BR |
dc.publisher.department.fl_str_mv |
Centro Tecnológico |
publisher.none.fl_str_mv |
Universidade Federal do Espírito Santo Doutorado em Ciência da Computação |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da Universidade Federal do Espírito Santo (riUfes) instname:Universidade Federal do Espírito Santo (UFES) instacron:UFES |
instname_str |
Universidade Federal do Espírito Santo (UFES) |
instacron_str |
UFES |
institution |
UFES |
reponame_str |
Repositório Institucional da Universidade Federal do Espírito Santo (riUfes) |
collection |
Repositório Institucional da Universidade Federal do Espírito Santo (riUfes) |
bitstream.url.fl_str_mv |
http://repositorio.ufes.br/bitstreams/d89ad675-88ce-4e83-809d-4aaffcc31810/download |
bitstream.checksum.fl_str_mv |
8208e341f8b042a5d394fa916132358d |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 |
repository.name.fl_str_mv |
Repositório Institucional da Universidade Federal do Espírito Santo (riUfes) - Universidade Federal do Espírito Santo (UFES) |
repository.mail.fl_str_mv |
|
_version_ |
1804309196884148224 |