{"id":1173,"date":"2019-02-18T13:41:56","date_gmt":"2019-02-18T13:41:56","guid":{"rendered":"http:\/\/eic.cefet-rj.br\/~ebezerra\/?page_id=1173"},"modified":"2020-02-05T12:34:29","modified_gmt":"2020-02-05T12:34:29","slug":"lncc-dl-2019","status":"publish","type":"page","link":"https:\/\/eic.cefet-rj.br\/~ebezerra\/lncc-dl-2019\/","title":{"rendered":"Deep Learning (short course &#8211; 2019 edition)"},"content":{"rendered":"<h1>Programa de Ver\u00e3o do LNCC &#8211; edi\u00e7\u00e3o 2019<br \/>\nJornada de Ci\u00eancia de Dados (18-22\/fev)<\/h1>\n<h2>Lectures<\/h2>\n<p><strong>Lecture 1<\/strong>\u00a0<strong> (18th of February)<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/www.dropbox.com\/s\/prpiv3ttupxwg7c\/2019-LNCC-MC04-CD.Deep%20Learning-Lecture1%20%28DL%20overview%29.pptx?dl=0\">Deep Learning Overview<\/a><\/li>\n<li><a href=\"https:\/\/www.dropbox.com\/s\/xusalxo5jw44rid\/2019-LNCC-MC04-CD.Deep%20Learning-Lecture1%20%28ANN%20basics%29.pptx?dl=0\">ANNs basics<\/a><\/li>\n<\/ul>\n<p><strong>Lecture 2 (19th of February)<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/www.dropbox.com\/s\/s0m4mteb126d5w6\/2019-LNCC-MC04-CD.Deep%20Learning-Lecture2%20%28Model%20Regularization%29.pptx?dl=0\">model regularization<\/a><\/li>\n<li><a href=\"https:\/\/www.dropbox.com\/s\/x1eg7kht74omacd\/2019-LNCC-MC04-CD.Deep%20Learning-Lecture2%20%28On%20activation%20functions%29.pptx?dl=0\">on activation functions<\/a><\/li>\n<\/ul>\n<p><strong>Lecture 3\u00a0(20th of February)<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/www.dropbox.com\/s\/9toh7150dhd9y2a\/2019-LNCC-MC04-CD.Deep%20Learning-Lecture3%20%28convnets%29.pptx?dl=0\">convnets<\/a><\/li>\n<li><a href=\"https:\/\/www.dropbox.com\/s\/7er41od1ka3pp8h\/2019-LNCC-MC04-CD.Deep%20Learning-Lecture3%20%28Model%20Selection%20and%20Evaluation%29.pptx?dl=0\">model selection and evaluation<\/a><\/li>\n<\/ul>\n<p><strong>Lecture 4\u00a0(21th of February)<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/www.dropbox.com\/s\/5y3wj7p4v7t0ty2\/2019-LNCC-MC04-CD.Deep%20Learning-Lecture3%20%28RNNs%29.pptx?dl=0\">recurrent nets<\/a><\/li>\n<li><del><\/del><a href=\"https:\/\/www.dropbox.com\/s\/1o4gjd7cx54ste1\/2019-LNCC-MC04-CD.Deep%20Learning-Lecture4%20%28other%20archs%29.pptx?dl=0\">other architectures (GANs, deep bayesian nets)<\/a><\/li>\n<li><a href=\"https:\/\/www.dropbox.com\/s\/bvkjjgnnvsjtb7s\/2019-LNCC-MC04-CD.Deep%20Learning-Lecture4%20%28final%20remarks%29.pptx?dl=0\">final remarks<\/a><\/li>\n<li>tutorial PyTorch<\/li>\n<li><a href=\"https:\/\/www.dropbox.com\/s\/cyjdld6w4p8m44f\/2019-LNCC-MC04-CD.Deep%20Learning-Lecture3%20%28GD%20detailed%29.pptx?dl=0\"><del>GD detailed<\/del><\/a><\/li>\n<\/ul>\n<h2>Code<\/h2>\n<ul>\n<li><a href=\"https:\/\/github.com\/Bjarten\/early-stopping-pytorch\/blob\/master\/MNIST_Early_Stopping_example.ipynb\">Early Stopping Example<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/pytorch\/examples\">PyTorch Examples<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/MLRG-CEFET-RJ\/\">CEFET&#8217;s MLRG github code repositories<\/a><\/li>\n<\/ul>\n<h2>Additional Resources<\/h2>\n<ul>\n<li><a href=\"http:\/\/neuralnetworksanddeeplearning.com\">Neural Networks and Deep Learning<\/a>\u00a0(Michael Nielsen&#8217;s book)<\/li>\n<li><a href=\"https:\/\/www.deeplearningbook.org\">Deep Learning Book<\/a>\u00a0\u00a0(Goodfellow et al&#8217;s book)<\/li>\n<li><a href=\"https:\/\/www.researchgate.net\/publication\/309321510_Introducao_a_Aprendizagem_Profunda\">Introdu\u00e7\u00e3o \u00e0 Aprendizagem Profunda<\/a><\/li>\n<li><a href=\"https:\/\/www.mlyearning.org\">Machine Learning Yearning<\/a> (Andrew Ng&#8217;s book)<\/li>\n<li><a href=\"https:\/\/www.coursera.org\/specializations\/deep-learning\">Deep Learning Specialization<\/a> (Coursera Course)<\/li>\n<li><a href=\"http:\/\/cs231n.stanford.edu\">CS231n: Convolutional Neural Networks for Visual Recognition<\/a><\/li>\n<li><a href=\"http:\/\/karpathy.github.io\/2015\/05\/21\/rnn-effectiveness\/\">The Unreasonable Effectiveness of Recurrent Neural Networks<\/a><\/li>\n<li><a href=\"http:\/\/colah.github.io\/posts\/2015-08-Understanding-LSTMs\/\">Understanding LSTM Networks<\/a><\/li>\n<li><a href=\"http:\/\/mlg.eng.cam.ac.uk\/yarin\/thesis\/\">Uncertainty in Deep Learning<\/a> (Yarin Gal&#8217;s PhD thesis)<\/li>\n<li><a href=\"https:\/\/stats385.github.io\">Theories of Deep Learning<\/a> (Course at Stanford University)<\/li>\n<li><a href=\"https:\/\/alexgkendall.com\/computer_vision\/bayesian_deep_learning_for_safe_ai\/\">Deep Learning Is Not Good Enough, We Need Bayesian Deep Learning for Safe AI<\/a><\/li>\n<li><a href=\"https:\/\/www.kdnuggets.com\/2017\/01\/generative-adversarial-networks-hot-topic-machine-learning.html\">Generative Adversarial Networks \u2013 Hot Topic in Machine Learning<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/nashory\/gans-awesome-applications\">gans-awesome-applications<\/a><\/li>\n<li><a href=\"https:\/\/medium.com\/@jonathan_hui\/gan-some-cool-applications-of-gans-4c9ecca35900\">Some cool applications of GANs<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Programa de Ver\u00e3o do LNCC &#8211; edi\u00e7\u00e3o 2019 Jornada de Ci\u00eancia de Dados (18-22\/fev) Lectures Lecture 1\u00a0 (18th of February) Deep Learning Overview ANNs basics Lecture 2 (19th of February) model regularization on activation functions Lecture 3\u00a0(20th of February) convnets model selection and evaluation Lecture 4\u00a0(21th of February) recurrent nets other architectures (GANs, deep bayesian [&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-1173","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/1173","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=1173"}],"version-history":[{"count":25,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/1173\/revisions"}],"predecessor-version":[{"id":1435,"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/pages\/1173\/revisions\/1435"}],"wp:attachment":[{"href":"https:\/\/eic.cefet-rj.br\/~ebezerra\/wp-json\/wp\/v2\/media?parent=1173"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}