{"id":2609,"date":"2013-01-01T11:57:51","date_gmt":"2013-01-01T17:57:51","guid":{"rendered":"http:\/\/hunch.net\/?p=2609"},"modified":"2013-01-02T13:31:40","modified_gmt":"2013-01-02T19:31:40","slug":"deep-learning-2012","status":"publish","type":"post","link":"https:\/\/hunch.net\/?p=2609","title":{"rendered":"Deep Learning 2012"},"content":{"rendered":"<p>2012 was a tumultuous year for me, but it was undeniably a great year for deep learning efforts.  Signs of this include:<\/p>\n<ol>\n<li>Winning a <a href=\"http:\/\/blog.kaggle.com\/2012\/11\/01\/deep-learning-how-i-did-it-merck-1st-place-interview\/\">Kaggle competition<\/a>.<\/li>\n<li>Wide adoption of <a href=\"http:\/\/www.cs.toronto.edu\/~hinton\/absps\/DNN-2012-proof.pdf\">deep learning for speech recognition<\/a>.<\/li>\n<li>Significant <a href=\"http:\/\/ai.stanford.edu\/~ang\/papers\/icml12-HighLevelFeaturesUsingUnsupervisedLearning.pdf\">industry support<\/a>.<\/li>\n<li>Gains in <a href=\"http:\/\/books.nips.cc\/papers\/files\/nips25\/NIPS2012_0534.pdf\">image<\/a> <a href=\"http:\/\/books.nips.cc\/papers\/files\/nips25\/NIPS2012_0598.pdf\">recognition<\/a>.<\/li>\n<\/ol>\n<p>This is a rare event in research: a significant capability breakout.  Congratulations are definitely in order for those who managed to achieve it.  At this point, deep learning algorithms seem like a choice undeniably worth investigating for real applications with significant data.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>2012 was a tumultuous year for me, but it was undeniably a great year for deep learning efforts. Signs of this include: Winning a Kaggle competition. Wide adoption of deep learning for speech recognition. Significant industry support. Gains in image recognition. This is a rare event in research: a significant capability breakout. Congratulations are definitely &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/hunch.net\/?p=2609\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Deep Learning 2012&#8221;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[35,66,29,17],"tags":[],"class_list":["post-2609","post","type-post","status-publish","format-standard","hentry","category-applications","category-deep","category-machine-learning","category-vision"],"_links":{"self":[{"href":"https:\/\/hunch.net\/index.php?rest_route=\/wp\/v2\/posts\/2609","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hunch.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hunch.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hunch.net\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/hunch.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2609"}],"version-history":[{"count":0,"href":"https:\/\/hunch.net\/index.php?rest_route=\/wp\/v2\/posts\/2609\/revisions"}],"wp:attachment":[{"href":"https:\/\/hunch.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2609"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hunch.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2609"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hunch.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2609"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}