Fundamentals of deep neural networks - application based in convolutional networks
Deep neural networks are becoming the state-of-the-art in the field of machine learning, especially because of their notable performance in a variety of current problems. Among these algorithms we can cite convolutional neural networks as one of the most powerful models for image classification prob...
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| Main Authors: | , |
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| Format: | Online |
| Language: | Portuguese |
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Universidade Estadual de Campinas
2019
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| Online Access: | https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/3040 |
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| _version_ | 1864359352757911552 |
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| author | Gonçalves, Rafael Attux, Romis |
| author_facet | Gonçalves, Rafael Attux, Romis |
| author_sort | Gonçalves, Rafael |
| collection | Portal de Eventos Científicos da UNICAMP |
| container_reference | Revista dos Trabalhos de Iniciação Científica da UNICAMP; n. 27 (2019): Congresso de Iniciação Científica UNICAMP; 1-1 |
| description | Deep neural networks are becoming the state-of-the-art in the field of machine learning, especially because of their notable performance in a variety of current problems. Among these algorithms we can cite convolutional neural networks as one of the most powerful models for image classification problems. This research aimed to perform a theoretical study on deep neural networks, as well as to implement a convolutional neural network applied to the problem of handwritten digits classification. |
| first_indexed | 2025-10-08T13:59:24Z |
| format | Online |
| id | ojs-article-3040 |
| institution | Universidade Estadual de Campinas |
| issn | 2596-1969 |
| language | por |
| last_indexed | 2025-10-08T13:59:24Z |
| publishDate | 2019 |
| publisher | Universidade Estadual de Campinas |
| record_format | ojs |
| spelling | ojs-article-30402025-09-26T14:39:16Z Fundamentals of deep neural networks - application based in convolutional networks Gonçalves, Rafael Attux, Romis Deep neural networks Machine learning Computational inteligence Deep neural networks are becoming the state-of-the-art in the field of machine learning, especially because of their notable performance in a variety of current problems. Among these algorithms we can cite convolutional neural networks as one of the most powerful models for image classification problems. This research aimed to perform a theoretical study on deep neural networks, as well as to implement a convolutional neural network applied to the problem of handwritten digits classification. Universidade Estadual de Campinas 2019-11-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artigo de convidado application/pdf https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/3040 10.20396/revpibic2720193040 Revista dos Trabalhos de Iniciação Científica da UNICAMP; n. 27 (2019): Congresso de Iniciação Científica UNICAMP; 1-1 2596-1969 por https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/3040/3031 Copyright (c) 2019 Revista dos Trabalhos de Iniciação Científica da UNICAMP http://creativecommons.org/licenses/by/4.0 |
| spellingShingle | Gonçalves, Rafael Attux, Romis Deep neural networks Machine learning Computational inteligence Fundamentals of deep neural networks - application based in convolutional networks |
| title | Fundamentals of deep neural networks - application based in convolutional networks |
| title_full | Fundamentals of deep neural networks - application based in convolutional networks |
| title_fullStr | Fundamentals of deep neural networks - application based in convolutional networks |
| title_full_unstemmed | Fundamentals of deep neural networks - application based in convolutional networks |
| title_short | Fundamentals of deep neural networks - application based in convolutional networks |
| title_sort | fundamentals of deep neural networks - application based in convolutional networks |
| topic | Deep neural networks Machine learning Computational inteligence |
| url | https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/3040 |
| work_keys_str_mv | AT goncalvesrafael fundamentalsofdeepneuralnetworksapplicationbasedinconvolutionalnetworks AT attuxromis fundamentalsofdeepneuralnetworksapplicationbasedinconvolutionalnetworks |
