Mestrado em Engenharia Elétrica Cefet/RJ

Inscrições abertas para seleção discente do Mestrado em Engenharia Elétrica do CEFET/RJ
http://dippg.cefet-rj.br/ppeel/index.php/ultimas-noticias/191-edital-selecao-discente-2021

http://dippg.cefet-rj.br/index.php?option=com_content&view=article&id=91&Itemid=99

http://dippg.cefet-rj.br/index.php?option=com_content&view=article&id=91&Itemid=99

Processo Seletivo Joomla! - O sistema dinâmico de portais e gerenciador de conteúdo

Introduction to Deep Learning: Machine Learning vs. Deep Learning Video Learn about the differences between deep learning and machine learning in this MATLAB Tech Talk. Walk through several examples, and learn about how...

O Programa de Pós-graduação em Engenharia Elétrica do CEFET/RJ (PPEEL) obteve êxito na aprovação do projeto PROJETO DE PESQUISA MULTIDISCIPLINAR EM SISTEMAS ELETRÔNICOS INDUSTRIAIS NO PROGRAMA DE ENGENHARIA ELÉTRICA NO CEFET/RJ, coordenado pelo Prof. Alessandro Rosa Lopes Zachi, aprovado no Edital FAPERJ Nº 22/2016 de Apoio Emergencial para os Programas e Cursos de Pós-graduação Stricto Sensu do Estado do Rio de Janeiro. O resultado encontra-se disponível em http://www.faperj.br/downloads/Resultado_Final_Apoio_Emergencial.pdf.

www.faperj.br

MATLAB Math, Statistics, and Optimization Examples These examples include code, documentation, and more

Aplicação de Machine Learning

The Little Hack That Could: The Story of Spotify’s “Discover Weekly” Recommendation Engine How two software engineers pulled together machine learning tools to make one of Spotify's most popular offerings

Deep Learning Deep learning uses multiple processing layers to learn useful features from data. Learn more about Deep Learning with MATLAB examples and tools.

Glowing Protein Warms Up Low-Power Laser The life blood of a new room-temperature laser is a green fluorescent protein from jellyfish

MATLAB Example >> Classification in the presence of missing data

Deep Learning for Computer Vision with MATLAB Explore the fundamentals of deep learning and its use to solve computer vision problems. Through several examples we review typical object recognition workflows using convolutional neural networks.