{"id":2887,"date":"2026-02-09T17:28:10","date_gmt":"2026-02-09T17:28:10","guid":{"rendered":"https:\/\/eic.cefet-rj.br\/~ebezerra\/?page_id=2887"},"modified":"2026-02-12T18:35:03","modified_gmt":"2026-02-12T18:35:03","slug":"mc04-deep-learning-jcd-2026","status":"publish","type":"page","link":"https:\/\/eic.cefet-rj.br\/~ebezerra\/mc04-deep-learning-jcd-2026\/","title":{"rendered":"MC04 &#8211; Deep Learning &#8211; JCD &#8211; 2026"},"content":{"rendered":"<h3>Programa de Ver\u00e3o do LNCC &#8211; Jornada de Ci\u00eancia de Dados<\/h3>\n<h2>Professor<\/h2>\n<p>Eduardo Bezerra (ebezerra@cefet-rj.br, CEFET\/RJ)<\/p>\n<ul>\n<li><a href=\"https:\/\/www.linkedin.com\/in\/eduardo-bezerra-a204123\/\">LinkedIn<\/a><\/li>\n<li><a href=\"https:\/\/scholar.google.com.br\/citations?user=WQflRMIAAAAJhl=en\">Google Scholar<\/a><\/li>\n<li><a href=\"http:\/\/lattes.cnpq.br\/7568520840965379\">CV Lattes<\/a><\/li>\n<\/ul>\n<h2>Objetivo<\/h2>\n<p>O objetivo deste minicurso \u00e9 apresentar uma introdu\u00e7\u00e3o \u00e0 aprendizagem profunda. S\u00e3o apresentados conceitos b\u00e1sicos da \u00e1rea, t\u00e9cnicas relacionadas ao treinamento e \u00e0 avalia\u00e7\u00e3o de modelos. S\u00e3o tamb\u00e9m descritas algumas das principais arquiteturas de redes profundas, al\u00e9m de algumas aplica\u00e7\u00f5es. Tamb\u00e9m s\u00e3o apresentados exemplos de c\u00f3digo por meio do framework PyTorch.<\/p>\n<h2>Plano<\/h2>\n<ul>\n<li>Aula1 (09\/fev das 15h30 \u00e0s 17h00): Conceitos b\u00e1sicos de RNAs<\/li>\n<li>Aula2 (10\/fev das 15h30 \u00e0s 17h00): Tutorial PyTorch &#8211; redes MLP;<\/li>\n<li>Aula3 (12\/fev das 15h30 \u00e0s 17h00): Tutorial PyTorch &#8211; Convolutional Nets; Considera\u00e7\u00f5es finais.<\/li>\n<\/ul>\n<h2>Material das aulas<\/h2>\n<p><strong>Aula 1<\/strong><strong> (09\/fev): <\/strong><a href=\"https:\/\/www.dropbox.com\/scl\/fi\/e1br4r8c01fk01f70kz7e\/Aula1.pptx?rlkey=296s7g416u5iglmidl5co1tmm&amp;dl=0\">slides<\/a>, <a href=\"https:\/\/youtu.be\/8V7XRpB7vnk\">v\u00eddeo<\/a><\/p>\n<p><strong>Aula 2 (10\/fev): <\/strong><a href=\"https:\/\/github.com\/AILAB-CEFET-RJ\/cic1205\/blob\/main\/notebooks\/DL\/DL03-mlp.ipynb\">notebook<\/a>, <a href=\"https:\/\/github.com\/AILAB-CEFET-RJ\/cic1205\/blob\/main\/notebooks\/gradient_descent_demo.ipynb\">notebook<\/a>, <a href=\"https:\/\/www.youtube.com\/watch?v=kIjE1f-Fk0g\">v\u00eddeo<\/a><\/p>\n<p><strong>Aula 3 (12\/fev): <\/strong><a href=\"https:\/\/github.com\/AILAB-CEFET-RJ\/cic1205\/blob\/main\/docs\/DL04-cnn2d-conv2d.md\">notas de aula<\/a>, <a href=\"https:\/\/github.com\/AILAB-CEFET-RJ\/cic1205\/blob\/main\/notebooks\/DL\/DL04-cnn2d-conv2d.ipynb\">notebook<\/a>, <a href=\"https:\/\/github.com\/AILAB-CEFET-RJ\/cic1205\/blob\/main\/notebooks\/DL\/DL04-cnn2d-cifar10.ipynb\">notebook<\/a>, <a href=\"https:\/\/github.com\/AILAB-CEFET-RJ\/cic1205\/blob\/main\/notebooks\/DL\/DL05-cnn1d-univariate.ipynb\">notebook<\/a>, <a href=\"https:\/\/github.com\/AILAB-CEFET-RJ\/cic1205\/blob\/main\/notebooks\/DL\/DL05-cnn1d-multivariate.ipynb\">notebook<\/a>, <a href=\"https:\/\/www.youtube.com\/watch?v=9KCtA_bM4I8\">v\u00eddeo<\/a><\/p>\n<h2>Q&amp;A<\/h2>\n<p>Para coletar as perguntas ou coment\u00e1rios ao longo das aulas, vamos utilizar a ferramenta Slido. Siga esse link <a href=\"https:\/\/app.sli.do\/event\/1MEDMPVbwconEK894L3Hmu\/live\/questions\">Q&amp;A<\/a> para fazer perguntas ou observa\u00e7\u00f5es.<\/p>\n<h2>Recursos adicionais<\/h2>\n<h3>B\u00e1sico<\/h3>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=fNk_zzaMoSs&amp;list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab\" target=\"_blank\" rel=\"noopener\">The Essence of Linear Algebra (3blue1brown)<\/a><\/li>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=aircAruvnKk&amp;list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi\" target=\"_blank\" rel=\"noopener\">Neural Networks (3blue1brown)<\/a><\/li>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=WUvTyaaNkzM&amp;list=PL0-GT3co4r2wlh6UHTUeQsrf3mlS2lk6x\">The Essence of Calculus<\/a> (YT channel &#8211; 3blue1brown)<\/li>\n<li><a href=\"https:\/\/archive.org\/details\/byte-magazine-1985-04\/page\/n3\">Artigo hist\u00f3rico sobre redes neurais<\/a><\/li>\n<\/ul>\n<h3>Cursos<\/h3>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=VyWAvY2CF9c\" target=\"_blank\" rel=\"noopener\">Deep Learning Crash Course for Beginners<\/a><\/li>\n<li><a href=\"https:\/\/www.youtube.com\/playlist?list=PLqnslRFeH2UrcDBWF5mfPGpqQDSta6VK4\" target=\"_blank\" rel=\"noopener\">PyTorch Tutorials &#8211; Complete Beginner Course<\/a><\/li>\n<li><a href=\"http:\/\/cs231n.stanford.edu\/\" target=\"_blank\" rel=\"noopener\">CS231n: Convolutional Neural Networks for Visual Recognition<\/a><\/li>\n<li><a href=\"https:\/\/youtu.be\/GIsg-ZUy0MY\">ZeroToGANS<\/a><\/li>\n<\/ul>\n<h3>Cap\u00edtulo de Livro<\/h3>\n<ul>\n<li><a href=\"https:\/\/www.researchgate.net\/publication\/309321510_Introducao_a_Aprendizagem_Profunda\" target=\"_blank\" rel=\"noopener\">Introdu\u00e7\u00e3o \u00e0 Aprendizagem Profunda<\/a><\/li>\n<\/ul>\n<h3>Livros<\/h3>\n<ul>\n<li><a href=\"http:\/\/neuralnetworksanddeeplearning.com\/\" target=\"_blank\" rel=\"noopener\">Neural Networks and Deep Learning (Michael Nielsen)<\/a><\/li>\n<li><a href=\"https:\/\/www.deeplearningbook.org\/\" target=\"_blank\" rel=\"noopener\">Deep Learning Book (Goodfellow et al)<\/a><\/li>\n<li><a href=\"https:\/\/isip.piconepress.com\/courses\/temple\/ece_4822\/resources\/books\/Deep-Learning-with-PyTorch.pdf\">Deep Learning with Pytorch<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Programa de Ver\u00e3o do LNCC &#8211; Jornada de Ci\u00eancia de Dados Professor Eduardo Bezerra (ebezerra@cefet-rj.br, CEFET\/RJ) LinkedIn Google Scholar CV Lattes Objetivo O objetivo deste minicurso \u00e9 apresentar uma introdu\u00e7\u00e3o \u00e0 aprendizagem profunda. S\u00e3o apresentados conceitos b\u00e1sicos da \u00e1rea, t\u00e9cnicas relacionadas ao treinamento e \u00e0 avalia\u00e7\u00e3o de modelos. S\u00e3o tamb\u00e9m descritas algumas das principais arquiteturas [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2887","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/2887","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/comments?post=2887"}],"version-history":[{"count":6,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/2887\/revisions"}],"predecessor-version":[{"id":2895,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/2887\/revisions\/2895"}],"wp:attachment":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/media?parent=2887"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}