{"id":12316,"date":"2020-04-25T01:14:56","date_gmt":"2020-04-24T16:14:56","guid":{"rendered":"https:\/\/deeplearning.jp\/?page_id=12316"},"modified":"2021-03-26T10:33:52","modified_gmt":"2021-03-26T01:33:52","slug":"dlb2020-2","status":"publish","type":"page","link":"https:\/\/deeplearning.jp\/en\/lectures\/dlb2020-2\/","title":{"rendered":"(\u65e5\u672c\u8a9e) Deep Learning\u57fa\u790e\u8b1b\u5ea7 2020"},"content":{"rendered":"

Sorry, this entry is only available in \u65e5\u672c\u8a9e<\/a>. For the sake of viewer convenience, the content is shown below in the alternative language. You may click the link to switch the active language.<\/p>

Sorry, this entry is only available in Japanese<\/a>. For the sake of viewer convenience, the content is shown below in the alternative language. You may click the link to switch the active language.<\/p>\n<\/div><\/div>

2020\u5e74\u5ea6\u306e\u300c\u6df1\u5c64\u5b66\u7fd2 \/ Deep Learning\u57fa\u790e\u8b1b\u5ea7\u300d\u958b\u8b1b\u3068\u3001\u53d7\u8b1b\u751f\u52df\u96c6\u958b\u59cb\u306e\u304a\u77e5\u3089\u305b\u3002<\/p>\n

\u3010\u8b1b\u5ea7\u6982\u8981\u3011<\/p>\n

\u300cDeep Learning\u57fa\u790e\u8b1b\u5ea7\u300d\u306f\u3001\u4eca\u5e74\u30676\u5e74\u76ee\u3092\u8fce\u3048\u308b\u677e\u5c3e\u7814\u7a76\u5ba4\u4e3b\u50ac\u306e\u516c\u958b\u8b1b\u5ea7\u3067\u3059\u3002Multilayer Perceptron\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\u5b9f\u8df5\u7684\u306a\u5185\u5bb9\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002\u534a\u6570\u4ee5\u4e0a\u306e\u56de\u3067\u6f14\u7fd2\u3092\u884c\u3044\u6280\u8853\u7fd2\u5f97\u3092\u76ee\u6307\u3057\u307e\u3059\u3002\u30d6\u30e9\u30a6\u30b6\u4e0a\u304b\u3089GPU\u3092\u5229\u7528\u3057\u305fPython\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u304c\u53ef\u80fd\u306a\u74b0\u5883\u3092\u5229\u7528\u3059\u308b\u305f\u3081\u3001\u81ea\u5206\u3067\u74b0\u5883\u8a2d\u5b9a\u306a\u3069\u3092\u884c\u3046\u5fc5\u8981\u304c\u306a\u304f\u3001\u672c\u984c\u306e\u307f\u306b\u96c6\u4e2d\u3057\u3066\u5b66\u7fd2\u3067\u304d\u307e\u3059\u3002<\/p>\n

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\n\u6b63\u898f\u306e\u5c65\u4fee\u7533\u8acb\u3092\u884c\u3063\u305f\u4e0a\u3067\u3001UTAS\u306e\u30b7\u30e9\u30d0\u30b9\u3001\u307e\u305f\u306f\u3001ITC-LMS\u306b\u66f8\u304b\u308c\u305f\u30d5\u30a9\u30fc\u30e0\u304b\u3089\u3001\u5fc5\u8981\u4e8b\u9805\u306e\u63d0\u51fa\u3092\u304a\u9858\u3044\u3044\u305f\u3057\u307e\u3059\u3002(\u5c65\u4fee\u7533\u8acb\u671f\u9593\u3092\u904e\u304e\u3066\u3057\u307e\u3063\u305f\u65b9\u306f\u4e0b\u8a18\u306e\u30d5\u30a9\u30fc\u30e0\u304b\u3089\u3054\u5fdc\u52df\u304f\u3060\u3055\u3044\u3002\u4f46\u3057\u3001\u305d\u306e\u5834\u5408\u306f\u6b63\u5f0f\u306a\u5c65\u4fee\u306b\u306f\u306a\u308a\u307e\u305b\u3093\u306e\u3067\u3001\u5358\u4f4d\u8a8d\u5b9a\u306f\u3067\u304d\u307e\u305b\u3093\u3002)<\/p>\n

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\nhttps:\/\/forms.gle\/Me2YS9YkqvMgggL67<\/a><\/p>\n

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 <\/p>\n

\u3010\u8a73\u7d30\u3011<\/p>\n

\u5927\u5b66\u9662\u6388\u696d\u300c\u6df1\u5c64\u5b66\u7fd2\u300d\u3068\u306e\u540c\u6642\u958b\u50ac\u306b\u306a\u308a\u307e\u3059\u3002\u4e8c\u3064\u306e\u8b1b\u7fa9\u306e\u5185\u5bb9\u304a\u3088\u3073\u30b9\u30b1\u30b8\u30e5\u30fc\u30eb\u306f\u540c\u4e00\u3067\u3059\u3002<\/p>\n

<\/p>\n

\u8b1b\u7fa9\u65e5\u7a0b\u3068\u5185\u5bb9(6\u670818\u65e5\u4ee5\u5916\u306f\u300116:50-18:35\u3067\u3059\u3002)<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
4\u670823\u65e5\uff08\u6728\u66dc\u65e5\uff09<\/td>\n\u7b2c1\u56de<\/td>\nDeep Learning\u306e\u6700\u65b0\u52d5\u5411\u3068\u4eca\u5f8c\u306e\u5c55\u671b<\/td>\n<\/tr>\n
4\u670830\u65e5\uff08\u6728\u66dc\u65e5\uff09<\/td>\n\u7b2c2\u56de<\/td>\n\u6a5f\u68b0\u5b66\u7fd2\u57fa\u790e\u30fb\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30<\/td>\n<\/tr>\n
5\u67087\u65e5\uff08\u6728\u66dc\u65e5\uff09<\/td>\n\u7b2c3\u56de<\/td>\nMultilayer Perceptron(Stochastic gradient descent, \u305d\u306e\u4ed6Optimizers\u306a\u3069\uff09<\/td>\n<\/tr>\n
5\u670814\u65e5\uff08\u6728\u66dc\u65e5\uff09<\/td>\n\u7b2c4\u56de<\/td>\nConvolutional Neural Network (CNN)<\/td>\n<\/tr>\n
5\u670821\u65e5\uff08\u6728\u66dc\u65e5\uff09<\/td>\n\u7b2c5\u56de<\/td>\nCNN\u30fbDeep Neural Network\u306e\u767a\u5c55<\/td>\n<\/tr>\n
5\u670828\u65e5\uff08\u6728\u66dc\u65e5\uff09<\/td>\n\u7b2c6\u56de<\/td>\nRecurrent Neural Network<\/td>\n<\/tr>\n
6\u67084\u65e5\uff08\u6728\u66dc\u65e5\uff09<\/td>\n\u7b2c7\u56de<\/td>\n\u5f37\u5316\u5b66\u7fd2<\/td>\n<\/tr>\n
6\u670811\u65e5\uff08\u6728\u66dc\u65e5\uff09<\/td>\n<\/td>\n\u6388\u696d\u7121\u3057<\/td>\n<\/tr>\n
6\u670818\u65e5\uff08\u6728\u66dc\u65e5\uff0910:25-12:10<\/td>\n\u7b2c8\u56de<\/td>\n\u5f37\u5316\u5b66\u7fd2\u30fb\u767a\u5c55\u7684\u30c8\u30d4\u30c3\u30af(Shane Gu, Google AI, Brain<\/span> Team )<\/td>\n<\/tr>\n
6\u670825\u65e5\uff08\u6728\u66dc\u65e5\uff09<\/td>\n\u7b2c9\u56de<\/td>\n\u6df1\u5c64\u5b66\u7fd2\u3068\u81ea\u7136\u8a00\u8a9e\u51e6\u7406(\u8c37\u4e2d\u77b3, \u7406\u5316\u5b66\u7814\u7a76\u6240\u3000\u9769\u65b0\u77e5\u80fd\u7d71\u5408\u7814\u7a76\u30bb\u30f3\u30bf\u30fc)<\/td>\n<\/tr>\n
7\u67082\u65e5\uff08\u6728\u66dc\u65e5\uff09<\/td>\n\u7b2c10\u56de<\/td>\n\u6df1\u5c64\u751f\u6210\u30e2\u30c7\u30eb<\/td>\n<\/tr>\n
7\u67089\u65e5\uff08\u6728\u66dc\u65e5\uff09<\/td>\n\u7b2c11\u56de<\/td>\n\u6df1\u5c64\u5b66\u7fd2\u306e\u7406\u8ad6(\u4eca\u6cc9\u5141\u8061\u3001\u6771\u4eac\u5927\u5b66\u3000\u5148\u9032<\/span>\u79d1\u5b66\u7814\u7a76\u6a5f\u69cb)<\/td>\n<\/tr>\n
7\u670816\u65e5\uff08\u6728\u66dc\u65e5\uff09<\/td>\n<\/td>\n\u6388\u696d\u7121\u3057<\/td>\n<\/tr>\n
7\u670823\u65e5(\u795d\u65e5)<\/td>\n<\/td>\n\u6388\u696d\u7121\u3057<\/td>\n<\/tr>\n
7\u670830\u65e5\uff08\u6728\u66dc\u65e5\uff09<\/td>\n\u7b2c12\u56de<\/td>\n\u4e16\u754c\u30e2\u30c7\u30eb<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

 <\/p>\n

\u305d\u306e\u4ed6\u304a\u554f\u3044\u5408\u308f\u305b\u306f\u4e0b\u8a18\u30e1\u30fc\u30eb\u30a2\u30c9\u30ec\u30b9\u306b\u304a\u9858\u3044\u3044\u305f\u3057\u307e\u3059\u3002<\/p>\n

lecture_mail@weblab.t.u-tokyo.ac.jp<\/p>\n

\u203b \u304a\u554f\u3044\u5408\u308f\u305b\u3092\u591a\u304f\u9802\u6234\u3059\u308b\u3053\u3068\u304c\u60f3\u5b9a\u3055\u308c\u308b\u305f\u3081\u3001\u3059\u3079\u3066\u306e\u304a\u554f\u3044\u5408\u308f\u305b\u306b\u3054\u56de\u7b54\u51fa\u6765\u304b\u306d\u307e\u3059\u4e8b\u3001\u3054\u7406\u89e3\u9802\u3051\u307e\u3059\u3068\u5e78\u3044\u3067\u3059\u3002\u3044\u305f\u3060\u3044\u305f\u3054\u8cea\u554f\u306b\u95a2\u3057\u3066\u3001\u3053\u3061\u3089\u306e\u30db\u30fc\u30e0\u30da\u30fc\u30b8\u306b\u8ffd\u8a18\u3059\u308b\u4e88\u5b9a\u3067\u3059\u3002<\/p>\n

 <\/p>\n

\u3010\u8cea\u554f\u3078\u306e\u56de\u7b54\u3011<\/p>\n

Q. \u8b1b\u7fa9\u6642\u9593\u5916\u306b\u6388\u696d\u52d5\u753b\u3092\u898b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u304b\uff1f<\/p>\n

A. \u3067\u304d\u307e\u305b\u3093\u3002\u30aa\u30f3\u30e9\u30a4\u30f3\u3067\u306e\u30e9\u30a4\u30d6\u914d\u4fe1\u306e\u307f\u3067\u3059\u3002\uff086\u670818\u65e5\u306e\u307f\u4f8b\u5916\u7684\u306b\u300110:25-12:10\u306b\u30e9\u30a4\u30d6\u914d\u4fe1\u3057\u305f\u3082\u306e\u3092\u300116:50-18:35\u306b\u9332\u753b\u914d\u4fe1\u3092\u884c\u3046\u4e88\u5b9a\u3067\u3059\u3002\uff09<\/p>\n

Q. \u6f14\u7fd2\u306b\u3064\u3044\u3066\u306f\u8b1b\u7fa9\u6642\u9593\u5916\u3067\u3082\u3067\u304d\u307e\u3059\u304b\uff1f<\/p>\n

A. \u306f\u3044\u3001\u3067\u304d\u307e\u3059\u3002\u8b1b\u7fa9\u8cc7\u6599\u3092\u914d\u5e03\u3044\u305f\u3057\u307e\u3059\u306e\u3067\u3001Google Colab\u3092\u5229\u7528\u3057\u3066\u3044\u305f\u3060\u3044\u305f\u308a\uff08\u5229\u7528\u65b9\u6cd5\u306f\u53d7\u8b1b\u6c7a\u5b9a\u8005\u306b\u306f\u6848\u5185\u3057\u307e\u3059\uff09\u3001\u30ed\u30fc\u30ab\u30eb\u74b0\u5883\u3067\u3082\u5927\u4e08\u592b\u3067\u3059\u3002\u5bbf\u984c\u306e\u63d0\u51fa\u3082\u3001\u7de0\u3081\u5207\u308a\u307e\u3067\u306f\u6642\u9593\u3092\u554f\u308f\u305a\u63d0\u51fa\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>

\n
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\n Shane Gu (\u9867\u4e16\u7fd4) <\/h4>\n <\/div>\n\n
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\n Google AI, Brain Team <\/div>\n <\/div>\n\n
\n \n Lecturer's Webpage <\/a>\n <\/div>\n \n <\/div>\n \n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n\n <\/div><\/div><\/div>
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\n \n Lecturer's Webpage <\/a>\n <\/div>\n \n <\/div>\n \n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n\n <\/div><\/div><\/div>
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\n \"\" <\/div>\n <\/div>\n \n\n\n
\n\n
\n

\n <\/h3>\n <\/div>\n\n
\n

\n \u4eca\u6cc9 \u5141\u8061 <\/h4>\n <\/div>\n\n
\n
\n \u6771\u4eac\u5927\u5b66\u3000\u5148\u9032\u79d1\u5b66\u7814\u7a76\u6a5f\u69cb <\/div>\n <\/div>\n\n
\n \n Lecturer's Webpage <\/a>\n <\/div>\n \n <\/div>\n \n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n\n <\/div><\/div><\/div><\/div>\n
<\/div>\n\n

\u8b1b\u5e2b<\/h2>\n<\/div><\/div>
\n
\n \n
\n\n
\n\n\n
\n
\n \"\" <\/div>\n <\/div>\n \n\n\n
\n\n
\n

\n <\/h3>\n <\/div>\n\n
\n

\n \u677e\u5d8b \u9054\u4e5f <\/h4>\n <\/div>\n\n
\n
\n \u6771\u4eac\u5927\u5b66\u5927\u5b66\u9662\u5de5\u5b66\u7cfb\u7814\u7a76\u79d1 <\/div>\n <\/div>\n\n \n <\/div>\n \n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n\n <\/div><\/div><\/div>
\n
\n \n
\n\n
\n\n\n
\n
\n \"\" <\/div>\n <\/div>\n \n\n\n
\n\n
\n

\n <\/h3>\n <\/div>\n\n
\n

\n \u4fdd\u4f4f \u7d14 <\/h4>\n <\/div>\n\n
\n
\n \u6771\u4eac\u5927\u5b66\u5927\u5b66\u9662\u5de5\u5b66\u7cfb\u7814\u7a76\u79d1 <\/div>\n <\/div>\n\n \n <\/div>\n \n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n\n <\/div><\/div><\/div><\/div>
\n
\n \n
\n\n
\n\n\n
\n
\n \"\" <\/div>\n <\/div>\n \n\n\n
\n\n
\n

\n <\/h3>\n <\/div>\n\n
\n

\n \u5c0f\u6797 \u7531\u5f25 <\/h4>\n <\/div>\n\n
\n
\n \u6771\u4eac\u5927\u5b66\u5927\u5b66\u9662\u5de5\u5b66\u7cfb\u7814\u7a76\u79d1 <\/div>\n <\/div>\n\n \n <\/div>\n \n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n\n <\/div><\/div><\/div>
\n
\n \n
\n\n
\n\n\n
\n
\n \"\" <\/div>\n <\/div>\n \n\n\n
\n\n
\n

\n <\/h3>\n <\/div>\n\n
\n

\n \u963f\u4e45\u6fa4 \u572d <\/h4>\n <\/div>\n\n
\n
\n \u6771\u4eac\u5927\u5b66\u5927\u5b66\u9662\u5de5\u5b66\u7cfb\u7814\u7a76\u79d1 <\/div>\n <\/div>\n\n \n <\/div>\n \n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n\n <\/div><\/div><\/div><\/div>

\u30c6\u30a3\u30fc\u30c1\u30f3\u30b0\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8(TA)<\/h2>\n<\/div><\/div>
\n
\n \n
\n\n
\n\n\n
\n
\n \"\" <\/div>\n <\/div>\n \n\n\n
\n\n
\n

\n <\/h3>\n <\/div>\n\n
\n

\n \u5927\u718a\u62d3\u6d77 <\/h4>\n <\/div>\n\n
\n
\n \u6771\u4eac\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u7406\u5de5\u7cfb\u7814\u7a76\u79d1
\n\uff08\u5168\u56de\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u6f14\u7fd2\u62c5\u5f53\uff09
\n <\/div>\n <\/div>\n\n \n <\/div>\n \n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n\n <\/div><\/div><\/div>
\n
\n \n
\n\n
\n\n\n
\n
\n \"\" <\/div>\n <\/div>\n \n\n\n
\n\n
\n

\n <\/h3>\n <\/div>\n\n
\n

\n \u9ed2\u5ddd\u3000\u6d38\u6d0b <\/h4>\n <\/div>\n\n
\n
\n \u6771\u4eac\u5927\u5b66\u5927\u5b66\u9662\u7d4c\u6e08\u5b66\u7814\u7a76\u79d1 <\/div>\n <\/div>\n\n \n <\/div>\n \n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n\n <\/div><\/div><\/div>
\n
\n \n
\n\n
\n\n\n
\n
\n \"\" <\/div>\n <\/div>\n \n\n\n
\n\n
\n

\n <\/h3>\n <\/div>\n\n
\n

\n \u571f\u5c45 \u5065\u4eba <\/h4>\n <\/div>\n\n
\n
\n \u6771\u4eac\u5927\u5b66\u5927\u5b66\u9662\u5de5\u5b66\u7cfb\u7814\u7a76\u79d1 <\/div>\n <\/div>\n\n \n <\/div>\n \n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n\n <\/div><\/div><\/div><\/div>
\n
\n \n
\n\n
\n\n\n
\n
\n \"\" <\/div>\n <\/div>\n \n\n\n
\n\n
\n

\n <\/h3>\n <\/div>\n\n
\n

\n SHAO\u3000Bohua\u3000\u90b5\u3000\u535a\u83ef <\/h4>\n <\/div>\n\n
\n
\n \u6771\u4eac\u5927\u5b66\u5927\u5b66\u9662\u5de5\u5b66\u7cfb\u7814\u7a76\u79d1 <\/div>\n <\/div>\n\n \n <\/div>\n \n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n\n <\/div><\/div><\/div>
\n
\n \n
\n\n
\n\n\n \n\n\n
\n\n
\n

\n <\/h3>\n <\/div>\n\n
\n

\n <\/h4>\n <\/div>\n\n
\n
\n <\/div>\n <\/div>\n\n \n <\/div>\n \n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n\n <\/div><\/div><\/div>
\n
\n \n
\n\n
\n\n\n \n\n\n
\n\n
\n

\n <\/h3>\n <\/div>\n\n
\n

\n <\/h4>\n <\/div>\n\n
\n
\n <\/div>\n <\/div>\n\n \n <\/div>\n \n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n\n <\/div><\/div><\/div><\/div>

\u30b7\u30b9\u30c6\u30e0\u62c5\u5f53<\/h2>\n<\/div><\/div>
\n
\n \n
\n\n
\n\n\n
\n
\n \"\" <\/div>\n <\/div>\n \n\n\n
\n\n
\n

\n <\/h3>\n <\/div>\n\n
\n

\n \u548c\u7530\u4fca\u8f14 <\/h4>\n <\/div>\n\n
\n
\n \u30ef\u30f3\u30c0\u30fc\u30bd\u30d5\u30c8 \u682a\u5f0f\u4f1a\u793e <\/div>\n <\/div>\n\n \n <\/div>\n \n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n\n <\/div><\/div><\/div><\/div>

\u904b\u55b6\u30fb\u4e8b\u52d9<\/h2>\n<\/div><\/div>
\n
\n \n
\n\n
\n\n\n
\n
\n \"\" <\/div>\n <\/div>\n \n\n\n
\n\n
\n

\n <\/h3>\n <\/div>\n\n
\n

\n \u6751\u4e0a\u3000\u9065 <\/h4>\n <\/div>\n\n
\n
\n \u677e\u5c3e\u8c4a\u7814\u7a76\u5ba4\u8077\u54e1 <\/div>\n <\/div>\n\n \n <\/div>\n \n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n\n <\/div><\/div><\/div>
\n
\n \n
\n\n
\n\n\n
\n
\n \"\" <\/div>\n <\/div>\n \n\n\n
\n\n
\n

\n <\/h3>\n <\/div>\n\n
\n

\n \u5185\u7530 \u6681 <\/h4>\n <\/div>\n\n
\n
\n \u677e\u5c3e\u8c4a\u7814\u7a76\u5ba4\u8077\u54e1 <\/div>\n <\/div>\n\n \n <\/div>\n \n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n <\/div>\n \n\n <\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
<\/div><\/div><\/div>
<\/div><\/div><\/div><\/div><\/section><\/p>","protected":false},"excerpt":{"rendered":"

Sorry, this entry is only available in \u65e5\u672c\u8a9e. For the sake of viewer convenience, the c more <\/i><\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"parent":9401,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[],"class_list":["post-12316","page","type-page","status-publish","hentry"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\t\n\n\t\t\n