{"id":2625,"date":"2025-02-10T16:49:49","date_gmt":"2025-02-10T16:49:49","guid":{"rendered":"https:\/\/eic.cefet-rj.br\/~ebezerra\/?page_id=2625"},"modified":"2026-02-09T17:25:13","modified_gmt":"2026-02-09T17:25:13","slug":"jcd-2025-deep-learning","status":"publish","type":"page","link":"https:\/\/eic.cefet-rj.br\/~ebezerra\/jcd-2025-deep-learning\/","title":{"rendered":"MC04 &#8211; Deep Learning &#8211; JCD &#8211; 2025"},"content":{"rendered":"<h1>Programa de Ver\u00e3o do LNCC &#8211; Jornada de Ci\u00eancia de Dados (10\/fev-13\/fev)<\/h1>\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=\"https:\/\/orcid.org\/0000-0001-9177-5503\">Open Researcher Contributor ID (ORCID)<\/a><\/li>\n<li><a href=\"https:\/\/publons.com\/researcher\/1938978\/eduardo-bezerra\/\">Thomson Reuters ResearcherID<\/a><\/li>\n<li><a href=\"https:\/\/www.semanticscholar.org\/author\/Eduardo-Bezerra\/146581505\">Semantic Scholar<\/a><\/li>\n<\/ul>\n<h2>Objetivo<\/h2>\n<p>O objetivo do 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. S\u00e3o apresentados exemplos de c\u00f3digo por meio do framework PyTorch.<\/p>\n<h2>Plano<\/h2>\n<ul>\n<li>Aula1. Conceitos b\u00e1sicos de RNAs<\/li>\n<li>Aula2. Tutorial PyTorch &#8211; redes MLP<\/li>\n<li>Aula3. Tutorial PyTorch &#8211; Convolutional Nets;<\/li>\n<li>Aula4. Considera\u00e7\u00f5es finais: aplica\u00e7\u00f5es; outras arquiteturas de rede (Autoencoders, transformers, redes recorrentes, &#8230;)<\/li>\n<\/ul>\n<h2>Material das aulas<\/h2>\n<p><strong>Aula 1<\/strong><strong> (10\/fev): <a href=\"https:\/\/www.dropbox.com\/scl\/fi\/e1br4r8c01fk01f70kz7e\/Aula1.pptx?rlkey=296s7g416u5iglmidl5co1tmm&amp;dl=0\">slides<\/a>, <a href=\"https:\/\/youtu.be\/vL1DtswnwS4\">v\u00eddeo<\/a><\/strong><\/p>\n<p><strong>Aula 2 (11\/fev): <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:\/\/youtu.be\/_lbFh_SLrRY\">v\u00eddeo<\/a><\/strong><\/p>\n<p><strong>Aula 3 (12\/fev): <a href=\"https:\/\/github.com\/AILAB-CEFET-RJ\/cic1205\/blob\/main\/notebooks\/DL\/DL04-cnn2d.ipynb\">notebook<\/a>, <a href=\"https:\/\/youtube.com\/live\/iS0VW_d5z8E?feature=share\">v\u00eddeo<\/a><\/strong><\/p>\n<p><strong>Aula 4 (13\/fev): <a href=\"https:\/\/www.dropbox.com\/scl\/fi\/03s8lviot35wvmq0jf8a5\/Aula4-Closing-Thoughts.pptx?rlkey=nblp53kjbue313pa3jd3th38l&amp;dl=0\">slides<\/a>, <a href=\"https:\/\/github.com\/AILAB-CEFET-RJ\/cic1205\/blob\/main\/notebooks\/DL\/DL05-cnn1d.ipynb\">notebook<\/a>, <a href=\"https:\/\/youtube.com\/live\/zeTwxDAqgEM?feature=share\">v\u00eddeo<\/a><\/strong><\/p>\n<h2>Links para sess\u00f5es de 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\/qY2vsa3BZ45AQXPuj9miNT\">Q&amp;A<\/a>.<\/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 (10\/fev-13\/fev) Professor Eduardo Bezerra (ebezerra@cefet-rj.br, CEFET\/RJ) LinkedIn Google Scholar Open Researcher Contributor ID (ORCID) Thomson Reuters ResearcherID Semantic Scholar Objetivo O objetivo do 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 [&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-2625","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/2625","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=2625"}],"version-history":[{"count":24,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/2625\/revisions"}],"predecessor-version":[{"id":2886,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/2625\/revisions\/2886"}],"wp:attachment":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/media?parent=2625"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}