{"id":5203,"date":"2017-06-30T12:31:38","date_gmt":"2017-06-30T03:31:38","guid":{"rendered":"https:\/\/deeplearning.jp\/?p=5203"},"modified":"2017-06-30T12:31:52","modified_gmt":"2017-06-30T03:31:52","slug":"2016%e5%b9%b4%e5%ba%a6%e3%80%8cdeep-learning%e5%9f%ba%e7%a4%8e%e8%ac%9b%e5%ba%a7%e3%80%8d%ef%bc%88%e5%85%ac%e9%96%8b%e8%ac%9b%e7%be%a9%ef%bc%89","status":"publish","type":"post","link":"https:\/\/deeplearning.jp\/en\/2016%e5%b9%b4%e5%ba%a6%e3%80%8cdeep-learning%e5%9f%ba%e7%a4%8e%e8%ac%9b%e5%ba%a7%e3%80%8d%ef%bc%88%e5%85%ac%e9%96%8b%e8%ac%9b%e7%be%a9%ef%bc%89\/","title":{"rendered":"2016\u5e74\u5ea6\u300cDeep Learning\u57fa\u790e\u8b1b\u5ea7\u300d\uff08\u516c\u958b\u8b1b\u7fa9\uff09"},"content":{"rendered":"<header class=\"entry-header\">\n<h1 class=\"entry-title\">AAI-2016<\/h1>\n<\/header>\n<div class=\"entry-content\">\n<h2>Deep Learning\u3084\u6700\u65b0\u306e\u4eba\u5de5\u77e5\u80fd\u6280\u8853\u306b\u3064\u3044\u3066\u5b66\u3073\u307e\u305b\u3093\u304b\uff1f<\/h2>\n<p>Deep Learning\u6280\u8853\u306e\u767b\u5834\u306b\u3088\u308a\u3001\u4eba\u5de5\u77e5\u80fd\u6280\u8853\u304c\u98db\u8e8d\u7684\u306b\u5411\u4e0a\u3057\u3001\u3042\u308a\u3068\u3042\u3089\u3086\u308b\u7523\u696d\u3068\u793e\u4f1a\u306e\u3042\u308a\u65b9\u306b\u5927\u304d\u306a\u5f71\u97ff\u3092\u4e0e\u3048\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u304b\u3089\u306e\u793e\u4f1a\u3067\u306f\u3001\u3069\u3093\u306a\u7523\u696d\u3067\u3069\u3093\u306a\u696d\u7a2e\u306b\u643a\u308f\u308b\u3068\u3057\u3066\u3082\u3001\u4eba\u5de5\u77e5\u80fd\u6280\u8853\u306e\u5f71\u97ff\u3092\u53d7\u3051\u308b\u3053\u3068\u306b\u306a\u308b\u3067\u3057\u3087\u3046\u3002Deep Learning JP\u3067\u306f\u3001\u305d\u306e\u3088\u3046\u306a\u4eba\u5de5\u77e5\u80fd\u6280\u8853\u304c\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3059\u793e\u4f1a\u306e\u5230\u6765\u306b\u5099\u3048\u3001\u4ee5\u4e0b\u306e\u6d3b\u52d5\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Deep Learning JP\u3067\u306f\u3001\u3044\u304f\u3064\u304b\u306e\u8b1b\u7fa9\u304b\u3089\u69cb\u6210\u3055\u308c\u308b\u6559\u80b2\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/p>\n<h2>Deep Learning\u57fa\u790e\u8b1b\u5ea7\uff08\u81ea\u4e3b\u8b1b\u7fa9\uff09<\/h2>\n<p>MLP\u30fb\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u57fa\u790e\u304b\u3089\u59cb\u307e\u308a\u3001\u5f90\u3005\u306bDeep Learning\u306e\u6838\u5fc3\u7684\u6280\u8853\u3084\u6700\u65b0\u30c8\u30d4\u30c3\u30af\u304c\u5b66\u3079\u308b\u3088\u3046\u306b\u8a2d\u8a08\u3055\u308c\u305f\u3001\u9ad8\u5ea6\u306a\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u300cPractice makes perfect\u300d\u306e\u8003\u3048\u306b\u57fa\u304d\u3001\u6f14\u7fd2\u3092\u901a\u3058\u3066\u306e\u6280\u8853\u7fd2\u5f97\u3092\u76ee\u6307\u3057\u307e\u3059\u3002\u6f14\u7fd2\u3067\u306f\u3001\u30d6\u30e9\u30a6\u30b6\u4e0a\u304b\u3089GPU\u3092\u5229\u7528\u3057\u305fPython\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u304c\u53ef\u80fd\u306a\u958b\u767a\u74b0\u5883\u300c<a href=\"http:\/\/ilect.net\/\">ilect.net<\/a>\u300d\u3092\u63d0\u4f9b\u3057\u3066\u304a\u308a\u3001\u524d\u63d0\u77e5\u8b58\u3084GPU\u958b\u767a\u74b0\u5883\u306a\u3069\u591a\u304f\u306e\u8981\u7d20\u3092\u5fc5\u8981\u3068\u3059\u308bDeep Learning\u6280\u8853\u306e\u5b66\u7fd2\u306b\u304a\u3044\u3066\u3082\u3001\u672c\u984c\u306e\u307f\u306b\u96c6\u4e2d\u3057\u3066\u5b66\u7fd2\u3067\u304d\u307e\u308b\u3088\u3046\u306b\u8b1b\u7fa9\u3092\u8a2d\u8a08\u3057\u3066\u3044\u307e\u3059\uff08ilect\u306e\u8a73\u7d30\u306f<a href=\"http:\/\/ilect.net\/what-is-ilect\/\">\u3053\u3061\u3089<\/a>\uff09\u3002\u6559\u79d1\u66f8\u3068\u3057\u3066\u300c\u6df1\u5c64\u5b66\u7fd2\u300d\uff08\u6a5f\u68b0\u5b66\u7fd2\u30d7\u30ed\u30d5\u30a7\u30c3\u30b7\u30e7\u30ca\u30eb\u30b7\u30ea\u30fc\u30ba\uff09\u3092\u5229\u7528\u3057\u307e\u3059\u306e\u3067\u53d7\u8b1b\u8005\u306f\u5fc5\u305a\u7528\u610f\u3057\u3066\u53d7\u8b1b\u306b\u81e8\u3093\u3067\u304f\u3060\u3055\u3044\u3002<\/p>\n<ul>\n<li>\u65e5\u6642\uff1a\u6bce\u9031\u6c34\u66dc\u65e5\uff11\uff16\uff1a\uff15\uff10\u301c\uff11\uff18\uff1a\uff13\uff15\uff08\uff15\u9650\uff09<\/li>\n<li>\u5834\u6240\uff1a\u6771\u4eac\u5927\u5b66\u5de5\u5b66\u90e8\uff12\u53f7\u9928\u30fb\uff13\u53f7\u9928<\/li>\n<li><a href=\"http:\/\/ail.tokyo\/registraiton-dl-basic2016\/\">\u53c2\u52a0\u7533\u3057\u8fbc\u307f\u30da\u30fc\u30b8<\/a>\u00a0\uff08\u7de0\u3081\u5207\u308a\uff1a\uff11\uff10\u6708\uff11\uff17\u65e5\u6b63\u5348\uff09<\/li>\n<li>\u81ea\u4e3b\u8b1b\u7fa9\u3067\u3042\u308a\u3001\u5927\u5b66\u304b\u3089\u306f\u5358\u4f4d\u304c\u51fa\u307e\u305b\u3093<\/li>\n<\/ul>\n<h2>\u30e1\u30f3\u30d0\u30fc<\/h2>\n<div class=\"container\">\n<div class=\"row\">\n<div class=\"col-sm-2 member-item\">\n<h4>Yutaka Matsuo<\/h4>\n<div class=\"small\">Associate Prof.<\/div>\n<div class=\"small\"><a href=\"http:\/\/weblab.t.u-tokyo.ac.jp\/\">WEBLAB<\/a>\u00a0|\u00a0<a href=\"http:\/\/www.t.u-tokyo.ac.jp\/soe\/\">Grad. School of Engineering<\/a><\/div>\n<\/div>\n<div class=\"col-sm-2 member-item\">\n<p>&nbsp;<\/p>\n<h4>Kotaro Nakayama<\/h4>\n<div class=\"small\">Assistant Prof.<\/div>\n<div class=\"small\"><a href=\"http:\/\/weblab.t.u-tokyo.ac.jp\/\">WEBLAB<\/a>\u00a0|\u00a0<a href=\"http:\/\/www.t.u-tokyo.ac.jp\/soe\/\">Grad. School of Engineering<\/a><\/div>\n<\/div>\n<div class=\"col-sm-2 member-item\">\n<p>&nbsp;<\/p>\n<h4>Kazuya Kawakami<\/h4>\n<div class=\"small\">Technical Lecturer<\/div>\n<div class=\"small\"><a href=\"http:\/\/www.ox.ac.uk\/\">University of Oxford<\/a><\/div>\n<\/div>\n<div class=\"col-sm-2 member-item\">\n<p>&nbsp;<\/p>\n<h4>Masahiro Suzuki<\/h4>\n<div class=\"small\">Technical Lecturer<\/div>\n<div class=\"small\"><a href=\"http:\/\/weblab.t.u-tokyo.ac.jp\/\">WEBLAB<\/a>\u00a0|\u00a0<a href=\"http:\/\/www.t.u-tokyo.ac.jp\/soe\/\">Grad. School of Engineering<\/a><\/div>\n<\/div>\n<div class=\"col-sm-2 member-item\">\n<p>&nbsp;<\/p>\n<h4>Yusuke Sugomori<\/h4>\n<div class=\"small\">Guest Lecturer<\/div>\n<div class=\"small\"><a href=\"https:\/\/micin.jp\/\">MICIN, Inc<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>&nbsp;<\/p>\n<h2>\u76ee\u6b21\uff08\u4eee\uff09<\/h2>\n<p>\uff08\u5185\u5bb9\u306f\u8abf\u6574\u4e2d\u3067\u3001\u5909\u66f4\u3055\u308c\u308b\u53ef\u80fd\u6027\u304c\u9ad8\u3044\u3067\u3059\uff09<\/p>\n<ol>\n<li>Introduction<br \/>\n\u5185\u5bb9\uff1aDeep Learning\u3068\u306f\u3001\u4eba\u5de5\u77e5\u80fd\u6280\u8853\u306e\u6b74\u53f2\u3001\u793e\u4f1a\u3078\u306e\u5f71\u97ff\uff0f\u8b1b\u7fa9\u5168\u4f53\u50cf\u3068\u6ce8\u610f\u4e8b\u9805\u306a\u3069<br \/>\n\u65e5\u4ed8\uff1a2016\/10\/19<br \/>\n\u5834\u6240\uff1a\u5de5\u5b66\u90e82\u53f7\u99281\u968e212\u53f7\u8b1b\u7fa9\u5ba4<\/li>\n<li>Machine Learning 1<br \/>\n\u5185\u5bb9\uff1aMachine Learning, k-NN, Logistic Regression\uff0f\u00a0Training, Testing<br \/>\n\u65e5\u4ed8\uff1a2016\/10\/26<br \/>\n\u5834\u6240\uff1a\u5de5\u5b66\u90e82\u53f7\u99281\u968e212\u53f7\u8b1b\u7fa9\u5ba4<\/li>\n<li>Machine Learning 2<br \/>\n\u5185\u5bb9\uff1aNumpy,Scipy, Scikit-learn\u3092\u5229\u7528\u3057\u305f\u6a5f\u68b0\u5b66\u7fd2\uff0fNumpy Idioms\uff0f\u9ad8\u5ea6\u306a\u884c\u5217\u64cd\u4f5c\u3001\u30b9\u30e9\u30a4\u30b7\u30f3\u30b0<br \/>\n\u65e5\u4ed8\uff1a2016\/11\/ 2<br \/>\n\u5834\u6240\uff1a\u5de5\u5b66\u90e82\u53f7\u99281\u968e212\u53f7\u8b1b\u7fa9\u5ba4<\/li>\n<li>Perception+Feed Forward Network, Gradient\u00a0Descent<br \/>\n\u5185\u5bb9\uff1a\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u57fa\u790e<br \/>\n\u65e5\u4ed8\uff1a2016\/11\/ 9<br \/>\n\u5834\u6240\uff1a\u5de5\u5b66\u90e82\u53f7\u99281\u968e212\u53f7\u8b1b\u7fa9\u5ba4<\/li>\n<li>Gradient Descent, Stochastic Gradient Descent, Optimizers<br \/>\n\u5185\u5bb9\uff1aTheano\u57fa\u790e\uff0fOptimizers<br \/>\n\u65e5\u4ed8\uff1a2016\/11\/16<br \/>\n\u5834\u6240\uff1a\u5de5\u5b66\u90e82\u53f7\u99281\u968e212\u53f7\u8b1b\u7fa9\u5ba4<\/li>\n<li>Autoencoders<br \/>\n\u5185\u5bb9\uff1adenoising Autoencoder, SdA<br \/>\n\u65e5\u4ed8\uff1a2016\/11\/30<br \/>\n\u5834\u6240\uff1a\u5de5\u5b66\u90e82\u53f7\u99281\u968e212\u53f7\u8b1b\u7fa9\u5ba4<\/li>\n<li>Convolutional Neural Networks(CNN)<br \/>\n\u5185\u5bb9\uff1aCNN\u57fa\u790e<br \/>\n\u65e5\u4ed8\uff1a2016\/12\/ 7<br \/>\n\u5834\u6240\uff1a\u5de5\u5b66\u90e82\u53f7\u99281\u968e212\u53f7\u8b1b\u7fa9\u5ba4<\/li>\n<li>Convolutional Neural Networks(CNN) 2<br \/>\n\u5185\u5bb9\uff1aCNN\u5fdc\u7528<br \/>\n\u65e5\u4ed8\uff1a2016\/12\/14<br \/>\n\u5834\u6240\uff1a\u5de5\u5b66\u90e82\u53f7\u99281\u968e212\u53f7\u8b1b\u7fa9\u5ba4<\/li>\n<li>\u751f\u6210\u30e2\u30c7\u30eb<br \/>\n\u5185\u5bb9\uff1aRBM,VAE\u306a\u3069<br \/>\n\u65e5\u4ed8\uff1a2016\/12\/21<br \/>\n\u5834\u6240\uff1a\u5de5\u5b66\u90e82\u53f7\u99281\u968e212\u53f7\u8b1b\u7fa9\u5ba4<\/li>\n<li>Recurrent Neural Networks(RNN)<br \/>\n\u5185\u5bb9\uff1a\u7cfb\u5217\u30c7\u30fc\u30bf\u306e\u6271\u3044<br \/>\n\u65e5\u4ed8\uff1a2017\/ 1\/11<br \/>\n\u5834\u6240\uff1a\u5de5\u5b66\u90e82\u53f7\u99281\u968e212\u53f7\u8b1b\u7fa9\u5ba4<\/li>\n<li>Deep Learning and Language Models<br \/>\n\u5185\u5bb9\uff1aWord Embedding,LSTM,Language Models<br \/>\n\u65e5\u4ed8\uff1a2017\/ 1\/18<br \/>\n\u5834\u6240\uff1a\u5de5\u5b66\u90e83\u53f7\u99283\u968e33\u53f7\u8b1b\u7fa9\u5ba4 \u3000\u3000\u203b\u4f1a\u5834\u304c\u5909\u66f4\u306b\u306a\u3063\u3066\u304a\u308a\u307e\u3059\u306e\u3067\u3054\u6ce8\u610f\u304f\u3060\u3055\u3044<\/li>\n<li>\u6700\u7d42\u5831\u544a\u4f1a<br \/>\n\u5185\u5bb9\uff1a\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u767a\u8868<br \/>\n\u65e5\u4ed8\uff1a2017\/ 1\/21<\/li>\n<\/ol>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>AAI-2016 Deep Learning\u3084\u6700\u65b0\u306e\u4eba\u5de5\u77e5\u80fd\u6280\u8853\u306b\u3064\u3044\u3066\u5b66\u3073\u307e\u305b\u3093\u304b\uff1f Deep Learning\u6280\u8853\u306e\u767b\u5834\u306b\u3088\u308a\u3001\u4eba\u5de5\u77e5\u80fd\u6280\u8853\u304c\u98db\u8e8d\u7684\u306b\u5411\u4e0a\u3057\u3001\u3042\u308a\u3068\u3042 <a class=\"read-more\" href=\"https:\/\/deeplearning.jp\/en\/2016%e5%b9%b4%e5%ba%a6%e3%80%8cdeep-learning%e5%9f%ba%e7%a4%8e%e8%ac%9b%e5%ba%a7%e3%80%8d%ef%bc%88%e5%85%ac%e9%96%8b%e8%ac%9b%e7%be%a9%ef%bc%89\/\"> more <i class=\"fa fa-arrow-right\" aria-hidden=\"true\"><\/i><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[57,59],"tags":[],"class_list":["post-5203","post","type-post","status-publish","format-standard","hentry","category-education","category-lecture"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" content=\"AAI-2016 Deep 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