{"id":111,"date":"2019-06-13T21:08:38","date_gmt":"2019-06-14T00:08:38","guid":{"rendered":"https:\/\/wp.ufpel.edu.br\/datalab\/?page_id=111"},"modified":"2019-06-13T21:08:38","modified_gmt":"2019-06-14T00:08:38","slug":"materiais-de-treinamento","status":"publish","type":"page","link":"https:\/\/wp.ufpel.edu.br\/datalab\/materiais-de-treinamento\/","title":{"rendered":"Materiais de treinamento"},"content":{"rendered":"<p>Grande parte deste material foi proposto pelos membros Ulisses Corr\u00eaa e Marco Birck.<\/p>\n<p><strong>Linguagens, Bibliotecas e Ferramentas<\/strong><\/p>\n<ul>\n<li><a href=\"http:\/\/cs231n.github.io\/python-numpy-tutorial\/\">Python e Numpy<\/a><\/li>\n<li><a href=\"https:\/\/www.learndatasci.com\/tutorials\/python-pandas-tutorial-complete-introduction-for-beginners\/\">Pandas<\/a><\/li>\n<li><a href=\"https:\/\/www.dataquest.io\/blog\/jupyter-notebook-tutorial\/\">Jupyter Lab<\/a><\/li>\n<li><a href=\"http:\/\/colab.research.google.com\/\">Google Colab<\/a><\/li>\n<li><a href=\"http:\/\/www.kaggle.com\">Kaggle<\/a><\/li>\n<li><a href=\"https:\/\/www.freecodecamp.org\/news\/what-is-git-and-how-to-use-it-c341b049ae61\/\">Git<\/a><\/li>\n<\/ul>\n<p><strong>Aprendizado de M\u00e1quina b\u00e1sico<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/towardsdatascience.com\/introduction-to-machine-learning-for-beginners-eed6024fdb08\">Intro to Machine Learning<\/a><\/li>\n<li><a href=\"https:\/\/medium.com\/machine-learning-for-humans\/why-machine-learning-matters-6164faf1df12\">Machine Learning for Humans<\/a><\/li>\n<li><a href=\"https:\/\/www.coursera.org\/learn\/python-machine-learning\">Python Machine Learning<\/a> (Coursera)<\/li>\n<li><a href=\"https:\/\/sebastianraschka.com\/blog\/2016\/model-evaluation-selection-part1.html\">Model evaluation<\/a><\/li>\n<li><a href=\"https:\/\/www.mlyearning.org\/\">Machine Learning Yearning<\/a> (exige inscri\u00e7\u00e3o)<\/li>\n<\/ul>\n<p><strong>Redes Neurais<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/pythonmachinelearning.pro\/perceptrons-the-first-neural-networks\/\">Perceptrons<\/a><\/li>\n<li>Multilayer Perceptrons (<a href=\"http:\/\/cs231n.github.io\/neural-networks-1\/\" target=\"_blank\" rel=\"noopener noreferrer\">Parte 1<\/a>,\u00a0<a href=\"http:\/\/cs231n.github.io\/neural-networks-2\/\" target=\"_blank\" rel=\"noopener noreferrer\">Parte 2<\/a>,\u00a0<a href=\"http:\/\/cs231n.github.io\/neural-networks-3\/\" target=\"_blank\" rel=\"noopener noreferrer\">Parte 3<\/a> e\u00a0<a href=\"http:\/\/cs231n.github.io\/neural-networks-case-study\/\" target=\"_blank\" rel=\"noopener noreferrer\">Estudo de caso<\/a>)<\/li>\n<li><a href=\"https:\/\/medium.com\/biaslyai\/pytorch-introduction-to-neural-network-feedforward-neural-network-model-e7231cff47cb\">Multilayer Perceptron com PyTorch <\/a>\u00a0(mas antes: <a href=\"https:\/\/heartbeat.fritz.ai\/introduction-to-pytorch-for-deep-learning-5b437cea90ac\">Intro to Pytorch<\/a>)<\/li>\n<li><a href=\"http:\/\/hunch.net\/?p=22\">Clever ways of overfitting<\/a><\/li>\n<\/ul>\n<p><strong>Deep Learning<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/machinelearningmastery.com\/what-is-deep-learning\/\">What is deep learning<\/a><\/li>\n<li><a href=\"http:\/\/cs231n.github.io\/convolutional-networks\/\">Convolutional Neural Networks<\/a> (e <a href=\"https:\/\/www.deeplearningbook.org\/contents\/convnets.html\">outra bem mais t\u00e9cnica<\/a>)<\/li>\n<li><a href=\"https:\/\/pytorch.org\/tutorials\/beginner\/deep_learning_60min_blitz.html\">Deep Learning Blitz<\/a><\/li>\n<li><a href=\"https:\/\/skymind.ai\/wiki\/lstm\">Recurrent Neural Networks<\/a><\/li>\n<li><a href=\"https:\/\/karpathy.github.io\/2015\/05\/21\/rnn-effectiveness\/\">The Unreasonable Effectiveness of Recurrent Neural Networks<\/a><\/li>\n<\/ul>\n<p><strong>Tarefas <\/strong>&#8211; um conjunto de tarefas que ajudam a consolidar o conhecimento<\/p>\n<ul>\n<li>Dataset: <a href=\"http:\/\/yann.lecun.com\/exdb\/mnist\/\">MNIST<\/a><\/li>\n<li>Implementar um perceptron para classificar cada d\u00edgito, usando apenas Python+Numpy<\/li>\n<li>Implementar um MLP para classificar entre os 10 d\u00edgitos, usando apenas Python+Numpy<\/li>\n<li>Implementar um MLP para classificar entre os 10 d\u00edgitos, usando <a href=\"https:\/\/scikit-learn.org\/\">sklearn<\/a><\/li>\n<li>Implementar um MLP para classificar entre os 10 d\u00edgitos, usando PyTorch<\/li>\n<li>Implementar uma CNN para classificar entre os 10 d\u00edgitos, usando PyTorch<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Grande parte deste material foi proposto pelos membros Ulisses Corr\u00eaa e Marco Birck. Linguagens, Bibliotecas e Ferramentas Python e Numpy Pandas Jupyter Lab Google Colab Kaggle Git&hellip; <span class=\"read-more\"><a class=\"more-link\" href=\"https:\/\/wp.ufpel.edu.br\/datalab\/materiais-de-treinamento\/\" rel=\"bookmark\">Leia Mais <span class=\"screen-reader-text\">&#8220;Materiais de treinamento&#8221;<\/span><\/a><\/span><\/p>\n","protected":false},"author":881,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"class_list":["post-111","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/PaG8ua-1N","_links":{"self":[{"href":"https:\/\/wp.ufpel.edu.br\/datalab\/wp-json\/wp\/v2\/pages\/111","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.ufpel.edu.br\/datalab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.ufpel.edu.br\/datalab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.ufpel.edu.br\/datalab\/wp-json\/wp\/v2\/users\/881"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.ufpel.edu.br\/datalab\/wp-json\/wp\/v2\/comments?post=111"}],"version-history":[{"count":1,"href":"https:\/\/wp.ufpel.edu.br\/datalab\/wp-json\/wp\/v2\/pages\/111\/revisions"}],"predecessor-version":[{"id":114,"href":"https:\/\/wp.ufpel.edu.br\/datalab\/wp-json\/wp\/v2\/pages\/111\/revisions\/114"}],"wp:attachment":[{"href":"https:\/\/wp.ufpel.edu.br\/datalab\/wp-json\/wp\/v2\/media?parent=111"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}