{"id":80,"date":"2017-11-08T21:16:35","date_gmt":"2017-11-08T20:16:35","guid":{"rendered":"http:\/\/www.pewe.sk\/nngroup\/?page_id=80"},"modified":"2019-05-02T13:10:17","modified_gmt":"2019-05-02T11:10:17","slug":"wiki","status":"publish","type":"page","link":"https:\/\/www.pewe.sk\/nngroup\/wiki\/","title":{"rendered":"Wiki"},"content":{"rendered":"<p>Welcome to our Wiki. You may\u00a0find links to some useful introductory (or advanced) resources on this page.<\/p>\n<p>Neural networks:<\/p>\n<ul>\n<li><a href=\"http:\/\/neuralnetworksanddeeplearning.com\/\">Neural Networks and Deep Learning<\/a> &#8211; Introductory book by Michael Nielsen<\/li>\n<li><a href=\"http:\/\/colah.github.io\/posts\/2015-08-Backprop\/\">Backprop<\/a>\u00a0&#8211; great explanation of backpropagation algorithm<\/li>\n<li><a href=\"http:\/\/www.asimovinstitute.org\/neural-network-zoo\/\">NN\u00a0ZOO<\/a>\u00a0&#8211; evolution of neural networks<\/li>\n<li><a href=\"https:\/\/playground.tensorflow.org\">Playground<\/a> &#8211; train and visualize neural net in browser<\/li>\n<li><a href=\"https:\/\/www.coursera.org\/learn\/neural-networks\">Neural Nets<\/a>\u00a0&#8211; MOOC by Geoffrey Hinton<\/li>\n<li><a href=\"https:\/\/www.coursera.org\/learn\/machine-learning\">Machine Learning<\/a>\u00a0&#8211; MOOC by Andrew Ng<\/li>\n<li><a href=\"https:\/\/www.bayareadlschool.org\/\">Bay Area DL\u00a0School 2016<\/a> or <a href=\"https:\/\/www.youtube.com\/playlist?list=PLrAXtmErZgOfMuxkACrYnD2fTgbzk2THW\">Individual Talks<\/a><\/li>\n<li><a href=\"https:\/\/www.slideshare.net\/0xdata\/h2o-world-top-10-deep-learning-tips-tricks-arno-candel\">Top10 Deep Learning Tips<\/a> by Arno Candel<\/li>\n<li><a href=\"http:\/\/theorangeduck.com\/page\/neural-network-not-working\">My Neural Network isn&#8217;t working! What should I do?<\/a><\/li>\n<li><a href=\"https:\/\/karpathy.github.io\/2019\/04\/25\/recipe\/\">Recipe for Training Neural Networks<\/a> by Andrej Karpathy<\/li>\n<li><a href=\"http:\/\/ruder.io\/optimizing-gradient-descent\/\">Gradient Descent Optimization algorithms<\/a><\/li>\n<li><a href=\"https:\/\/www.youtube.com\/playlist?list=PLkDaE6sCZn6E7jZ9sN_xHwSHOdjUxUW_b\">Structuring ML Projects<\/a> by Andrew Ng (DeepLearning.AI)<\/li>\n<\/ul>\n<p>NLP:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.youtube.com\/playlist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z\">Stanford NLP Course videos<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/pdf\/1708.02709.pdf\">Recent Trends in Deep NLP<\/a> &#8211; survey of various techniques, tasks and resources used in deep NLP.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/pdf\/1510.00726.pdf\">A Primer on Neural Network Models for Natural Language Processing<\/a> &#8211; introduction to neural networks in NLP context, thorough explanation of important concepts. Especially useful for beginners.<\/li>\n<li><a href=\"https:\/\/github.com\/jacobeisenstein\/gt-nlp-class\/tree\/master\/notes\">NLP textbook from Georgia Tech<\/a> &#8211; includes information about many NLP tasks. Work in progress.<\/li>\n<\/ul>\n<p>Relevant blogs (cherrypicked):<\/p>\n<ul>\n<li><a href=\"http:\/\/colah.github.io\/\">http:\/\/colah.github.io\/<\/a><\/li>\n<li><a href=\"http:\/\/karpathy.github.io\/\">http:\/\/karpathy.github.io\/<\/a><\/li>\n<li><a href=\"https:\/\/adeshpande3.github.io\/\">https:\/\/adeshpande3.github.io\/<\/a><\/li>\n<li><a href=\"http:\/\/www.cleverhans.io\/\">http:\/\/www.cleverhans.io\/<\/a><\/li>\n<\/ul>\n<p>Deep Learning books\/papers\/resources:<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/songrotek\/Deep-Learning-Papers-Reading-Roadmap\">DL Reading\u00a0Roadmap<\/a> &#8211; structured list of highly relevant papers<\/li>\n<li><a href=\"https:\/\/github.com\/terryum\/awesome-deep-learning-papers\">Awesome DL papers<\/a> &#8211; curated list of the most cited deep learning papers<\/li>\n<\/ul>\n<p>TensorFlow:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.tensorflow.org\/get_started\/get_started\">Get started<\/a>\u00a0&#8211; official introduction<\/li>\n<li><a href=\"https:\/\/www.udacity.com\/course\/deep-learning--ud730\">Udacity DeepLearn<\/a> &#8211; MOOC by Google &#8211; intro to DL with\u00a0TensorFlow<\/li>\n<li><a href=\"https:\/\/github.com\/jtoy\/awesome-tensorflow\">Tutorials<\/a>\u00a0&#8211;\u00a0list of TF model implementations and tutorials<\/li>\n<li><a href=\"https:\/\/events.withgoogle.com\/tensorflow-dev-summit\/\">TF Dev Summit 2017<\/a>\u00a0&#8211; latest features, demos, tutorials, future plans<\/li>\n<li><a href=\"https:\/\/github.com\/aymericdamien\/TensorFlow-Examples\">TensorFlow Examples<\/a> &#8211; demonstrative implementations of various NN models in TensorFlow<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Welcome to our Wiki. You may\u00a0find links to some useful introductory (or advanced) resources on this page. Neural networks: Neural Networks and Deep [&hellip;]<\/p>\n","protected":false},"author":18,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.pewe.sk\/nngroup\/wp-json\/wp\/v2\/pages\/80"}],"collection":[{"href":"https:\/\/www.pewe.sk\/nngroup\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.pewe.sk\/nngroup\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.pewe.sk\/nngroup\/wp-json\/wp\/v2\/users\/18"}],"replies":[{"embeddable":true,"href":"https:\/\/www.pewe.sk\/nngroup\/wp-json\/wp\/v2\/comments?post=80"}],"version-history":[{"count":15,"href":"https:\/\/www.pewe.sk\/nngroup\/wp-json\/wp\/v2\/pages\/80\/revisions"}],"predecessor-version":[{"id":227,"href":"https:\/\/www.pewe.sk\/nngroup\/wp-json\/wp\/v2\/pages\/80\/revisions\/227"}],"wp:attachment":[{"href":"https:\/\/www.pewe.sk\/nngroup\/wp-json\/wp\/v2\/media?parent=80"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}