Cover Image

Solução de quebra-cabeças usando deep learning

O objetivo deste trabalho é desenvolver um algoritmo para solução de quebra-cabeças do tipo jigsaw puzzle usando deep learning. Deep learning são redes neurais profundas que não exigem interferência humana direta para serem treinadas e, dessa forma, problemas complexos que requerem o reconhecimento...

Full description

Saved in:

Bibliographic Details
Main Authors:	Ueda, Marcos, Silva, Josue
Format:	Online
Language:	Portuguese
Published:	Universidade Estadual de Campinas 2019
Subjects:	Deep learning Jigsaw puzzles Python
Online Access:	https://econtents.sbu.unicamp.br/eventos/index.php/pibic/article/view/2061
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Humanoid robot localization in a soccer field using Deep Learning
by: Andrade, Gabriel de, et al.
Published: (2019)

Using deep learning to predict solar explosions using magnetograms
by: Fernandes, Matheus Evers Rodrigues, et al.
Published: (2019)

Atenção visual para sistemas robóticos com deep learning
by: Perillo, Erik de Godoy, et al.
Published: (2018)

Using deep learning to identify and classify sunspots in magnetograms
by: Oliveira, Letícia de, et al.
Published: (2019)

Pornographic cartoon video detection through deep neural networks
by: Ishikawa, Akari, et al.
Published: (2018)

Development of a web system to annotate and verify images for use in a deep learning system to monitor pest control
by: Petrachini, Alexandre, et al.
Published: (2019)

What are kids watching at youtube? Elsagate detection through deep neural networks
by: Ishikawa, Akari, et al.
Published: (2019)

Fruit detection in viticulture with deep neural networks
by: Souza, Leonardo de, et al.
Published: (2019)

Fundamentals of Deep Neural Networks - application based on MLPS
by: Barretto, José, et al.
Published: (2019)

Fundamentals of deep neural networks - application based in convolutional networks
by: Gonçalves, Rafael, et al.
Published: (2019)

Processamento de imagens faciais usando aprendizado profundo de máquina com a biblioteca dlib
by: Oliveira, Natan de, et al.
Published: (2019)

Fostering deep technology to face global challenges: a study of a Nordic country's innovation policy
by: Martins, Ana Carolina Calçado Lopes, et al.
Published: (2026)

Automated detection of grapes and leaves in viticulture with a YOLOv2 neural network
by: Santos, Andreza Aparecida dos, et al.
Published: (2018)

Fundamentos de redes neurais profundas
by: Bassi, Pedro Ricardo Ariel Salvador, et al.
Published: (2019)

RadSchool: conscientização e ensino de radioatividade através de extensão universitária
by: Filho, Arnaldo Luis Lixandrão, et al.
Published: (2024)

Redes neurais profundas: implementação no contexto de reconhecimento de imagens
by: Bassi, Pedro, et al.
Published: (2019)

Special issue on the indexical point of view: introductory notes
by: Valente, Matheus, et al.
Published: (2023)

Transformação digital na gestão de frequências: implementação de um sistema automatizado com Python e Flask na Educorp
by: Santos, Joao Eduardo Pereira dos
Published: (2024)

Extração de compostos fenólicos da folha de oliveira (Olea europaea L.) com o uso de deep eutectic solvents (DES)
by: Shiwaku, Isabella, et al.
Published: (2019)

Desenvolvimento de algoritmo de imagem baseado em python para detecção de sonolência utilizando raspberry pi
by: Silva, Gabriel da, et al.
Published: (2019)

Frege’s puzzle is here to stay: triviality and informativity in natural languages
by: Valente, Matheus, et al.
Published: (2020)

Padrão dos fluxos de capitais: teoria, evidência e puzzle
by: Damasceno, Aderbal Oliveira
Published: (2015)

IA Generativa para construção de um modelo de cálculo para prospecção de moléculas bioativa
by: Padovam, Alessandra Rodrigues Cardoso, et al.
Published: (2024)

Frege’s Puzzle on the Santa Monica Beach De Jure Co-reference and the Logical Appraisal of Rational Agents
by: Boccardi, Emiliano
Published: (2018)

The Art of Time Travel: a bigger picture
by: Bourne, Emily Caddick, et al.
Published: (2017)

Combinando python e ruby on rails para envio de SMS na triagem neonatal do teste do pezinho
by: Padovam, Alessandra Rodrigues Cardoso, et al.
Published: (2024)

Integração de dados para sistema em nuvem utilizando Python e TSQL
by: Padovam, Alessandra Rodrigues Cardoso, et al.
Published: (2023)

Arne Naesse and the eight points of deep ecology
by: Hoefel, João Luiz, et al.
Published: (1996)

Learning curves for the modeling of sugar cane productivity
by: Nisieimon, Vitor Hiroya, et al.
Published: (2019)

Performance of tall buildings with employment of soil-structure interaction
by: Bahia, Gabriela de Athayde Duboc, et al.
Published: (2021)

Expectations and satisfaction of students in e-learning courses in higher education
by: Lemos, Susana, et al.
Published: (2013)

An introductory study to machine learning and its application to employee turnover prediction
by: Oliveira, João Pedro Pazinato Cruz de, et al.
Published: (2019)

Editing, narrative, discourse: cinematographic strategies in the staging of cabras: cabeças que voam, cabeças que rolam
by: Rosa, Dionatan Daniel da, et al.
Published: (2022)

Study and analysis of the Kaggle Competitions to encourage the learning and the exchange of experiences of the machine learning community of Campinas
by: Okita, Alexandre, et al.
Published: (2019)

Com a cabeça nas nuvens
by: Gambini, Roberto
Published: (2016)

Learning ray tracing geometry intersections
by: Silva, Joao, et al.
Published: (2019)

As cinzas da Coleção Perseverança, o Quebra de Xangô ainda arde
by: Almeida, Anderson
Published: (2019)

O olhar distanciado de Camilo e a quebra da catarse
by: Pavanelo, Luciene Marie
Published: (2010)

Percentage in rational number learning with understanding
by: Guerreiro, Helena Gil, et al.
Published: (2018)

Factors influencing mobile learning acceptance in higher education: a systematic review
by: Bett, Angelita Mocelin, et al.
Published: (2025)