{"id":10611,"date":"2018-08-01T05:43:54","date_gmt":"2018-07-31T20:43:54","guid":{"rendered":"https:\/\/deeplearning.jp\/?page_id=10611"},"modified":"2018-11-09T18:48:10","modified_gmt":"2018-11-09T09:48:10","slug":"dlb2018","status":"publish","type":"page","link":"https:\/\/deeplearning.jp\/en\/lectures\/dlb2018\/","title":{"rendered":"(\u65e5\u672c\u8a9e) Deep Learning\u57fa\u790e\u8b1b\u5ea7 2018"},"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><\/div><\/div><\/div><\/div>

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\u8b1b\u5ea7\u6982\u8981<\/h2>\n

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Deep Learning\u57fa\u790e\u8b1b\u5ea7\u306f\u3001\u4eca\u5e74\u3067\uff14\u5e74\u76ee\u3092\u8fce\u3048\u308b\u677e\u5c3e\u7814\u7a76\u5ba4\u4e3b\u50ac\u306e\u516c\u958b\u8b1b\u5ea7\u3067\u3059\u3002MLP\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\u3001\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u6f14\u7fd2\u3092\u4e3b\u4f53\u3068\u3057\u305f\u5b9f\u8df5\u7684\u306a\u5185\u5bb9\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002\u300cPractice makes perfect\u300d\u306e\u8003\u3048\u306b\u57fa\u304d\u3001\u6bce\u9031\u306e\u6f14\u7fd2<\/strong><\/span>\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\u300cilect.net\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\u308b\u3088\u3046\u306b\u8b1b\u7fa9\u3092\u8a2d\u8a08\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/div><\/div>\n \n\n \n Apply <\/a>\n \n\n\n <\/div>\n\n\n\n\n

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1\u53d7\u8b1b\u8005 \u2013 1GPU\u30b5\u30fc\u30d0<\/h4>\n

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\"\"<\/div>\n

\u30d6\u30e9\u30a6\u30b6\u306e\u307f\u5fc5\u8981<\/h4>\n

\u5fc5\u8981\u306a\u3082\u306e\u306fWeb\u30d6\u30e9\u30a6\u30b6\u306e\u307f\u3067\u3059\u3002\u30d6\u30e9\u30a6\u30b6\u3092\u901a\u3058\u3066GPU\u3092\u5229\u7528\u3057\u305fPython\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u304c\u53ef\u80fd\u306a\u958b\u767a\u74b0\u5883\u300ciLect.net\u300d\u304c\u63d0\u4f9b\u3055\u308c\u307e\u3059\u3002\u30af\u30ea\u30c3\u30af\u64cd\u4f5c\u306e\u307f\u3067\u6f14\u7fd2\u3092\u958b\u59cb\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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\u69cb\u7bc9\u6e08\u307f\u74b0\u5883<\/h4>\n

\u5fc5\u8981\u306a\u5168\u3066\u306eDeep Learning\u30fb\u6a5f\u68b0\u5b66\u7fd2\u30e9\u30a4\u30d6\u30e9\u30ea\u304c\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u3001\u69cb\u7bc9\u6e08\u307f\u306e\u74b0\u5883\u304c\u914d\u5e03\u3055\u308c\u307e\u3059\u306e\u3067\u3001\u3059\u3050\u306b\u5b66\u7fd2\u3092\u958b\u59cb\u3057\u672c\u984c\u306b\u96c6\u4e2d\u3057\u3066\u53d6\u308a\u7d44\u3080\u3053\u3068\u304c\u53ef\u80fd\u3067\u3059\u3002<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>

\"\"<\/div>\n

\u6f14\u7fd2\u4e2d\u5fc3\u3067\u52b9\u7387\u826f\u304f\u77ed\u671f\u7fd2\u5f97<\/h4>\n

\u672c\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u6700\u5927\u306e\u7279\u5fb4\u306e\u4e00\u3064\u306f\u3001\u5168\u3066\u306e\u30c8\u30d4\u30c3\u30af\u306b\u3064\u3044\u3066\uff0c\u6f14\u7fd2\u3092\u4e2d\u5fc3\u306b\u69cb\u6210\u3055\u308c\u3066\u3044\u308b\u70b9\u3067\u3059\u3002\u5b9f\u969b\u306b\u624b\u3092\u52d5\u304b\u3057\u306a\u304c\u3089\u7406\u89e3\u3092\u9032\u3081\u308b\u3053\u3068\u3067\u3001\u52b9\u7387\u3088\u304f\u5b66\u7fd2\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/div><\/div><\/div><\/div><\/div>

\"\"<\/div>\n

\u30e2\u30c7\u30eb\u306e\u5b66\u7fd2<\/h4>\n

Deep Learning\u6280\u8853\u3067\u306f\u3001\u30e2\u30c7\u30eb\u304c\u5b66\u7fd2\u3059\u308b\u69d8\u5b50\u3092\u89b3\u6e2c\u3057\u306a\u304c\u3089\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u8abf\u6574\u3059\u308b\u3053\u3068\u3067\u3001\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u5fdc\u3058\u305f\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u306e\u6700\u5927\u5316\u3092\u56f3\u308b\u3053\u3068\u304c\u975e\u5e38\u306b\u91cd\u8981\u3067\u3059\u3002\u3053\u306e\u4e00\u9023\u306e\u6d41\u308c\u3092\u5168\u3066\u306e\u6f14\u7fd2\u3067\u7d4c\u9a13\u3059\u308b\u3053\u3068\u3067\u3001\u91cd\u8981\u306a\u8981\u7d20\u3092\u8eab\u306b\u3064\u3051\u3089\u308c\u307e\u3059\u3002<\/p>\n<\/div><\/div><\/div><\/div><\/div>

\"\"<\/div>\n

\u677e\u5c3e\u7814\u7a76\u5ba4\u304c\u30b3\u30f3\u30c6\u30f3\u30c4\u4f5c\u6210<\/h4>\n

\u5b9f\u8df5\u578b\u306e\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u80b2\u6210\u8b1b\u5ea7\u304a\u3088\u3073Deep Learning\u8b1b\u5ea7\u30924\u5e74\u4ee5\u4e0a\u516c\u958b\u904b\u55b6\u3057\u3001\u306e\u3079\u5343\u4eba\u4ee5\u4e0a\u306e\u4eba\u6750\u3092\u80b2\u6210\u3057\u3066\u304d\u305f\u6771\u4eac\u5927\u5b66\u677e\u5c3e\u7814\u7a76\u5ba4\u304c\u30b3\u30f3\u30c6\u30f3\u30c4\u3092\u76e3\u4fee\u30fb\u958b\u767a\u3057\u307e\u3057\u305f\u3002<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>

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\u30b3\u30f3\u30c6\u30f3\u30c4<\/h2>\n<\/div><\/div><\/div><\/div><\/div><\/div>
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\u7b2c1\u56de\u00a0<\/span>Deep Learning\u3068AI\u9769\u547d<\/h4>\n

\u7279\u5225\u8b1b\u7fa9\uff1a\u677e\u5c3e\u8c4a
\nAI\u306e\u6b74\u53f2\u3068\u6280\u8853\u7684\u9650\u754c\u3001Deep Learning\u6982\u8ad6\u3001\u6f14\u7fd2\u8aac\u660e<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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\u7b2c2\u56de\u00a0<\/span>\u6a5f\u68b0\u5b66\u7fd2\u57fa\u790e<\/h4>\n

\u30d1\u30e9\u30e1\u30c8\u30ea\u30c3\u30af\u306a\u8b58\u5225\u30e2\u30c7\u30eb\u3001\u6c4e\u5316\u3001\u6b63\u898f\u65b9\u7a0b\u5f0f\u3001\u6700\u6025\u964d\u4e0b\u6cd5
\n\u6f14\u7fd2\uff1a\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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\u7b2c3\u56de\u00a0<\/span>\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af<\/h4>\n

\u8aa4\u5dee\u9006\u4f1d\u64ad\u3001\u52fe\u914d\u964d\u4e0b\u6cd5
\n\u6f14\u7fd2\uff1aMLP<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>

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\u7b2c4\u56de\u00a0<\/span>Tensorflow\u5165\u9580<\/h4>\n

\u6df1\u5c64\u5b66\u7fd2\u30e9\u30a4\u30d6\u30e9\u30ea\u3001\u8a08\u7b97\u30b0\u30e9\u30d5\u3001\u6700\u9069\u5316\u624b\u6cd5\u306a\u3069
\n\u6f14\u7fd2\uff1aTensorflow\u306b\u3088\u308bMLP<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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\u7b2c5\u56de\u00a0<\/span>CNN\uff08\u7b2c\uff11\u56de\uff09<\/h4>\n

\u753b\u50cf\u8a8d\u8b58\u57fa\u790e\u3001CNN\u3001\u7573\u8fbc\u307f\u3001\u30d7\u30fc\u30ea\u30f3\u30b0
\n\u6f14\u7fd2\uff1aCNN<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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\u7b2c6\u56de\u00a0<\/span>CNN\uff08\u7b2c\uff12\u56de\uff09\u3001DNN\u306e\u767a\u5c55<\/h4>\n

\u8d85\u591a\u5c64\u5316\u306b\u5411\u3051\u305f\u6280\u8853\u3001\u8ee2\u79fb\u5b66\u7fd2\u3001\u53ef\u8996\u5316\u306a\u3069
\n\u6f14\u7fd2\uff1aCNN\u306b\u3088\u308b\u4e00\u822c\u753b\u50cf\u8a8d\u8b58<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>

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\u7b2c7\u56de\u00a0<\/span>RNN<\/h4>\n

RNN\u3068\u7cfb\u5217\u30c7\u30fc\u30bf\u306e\u6271\u3044
\n\u6f14\u7fd2\uff1aRNN\u3092\u5229\u7528\u3057\u305f\u7cfb\u5217\u30c7\u30fc\u30bf\u5206\u6790<\/p>\n<\/div><\/div><\/div><\/div><\/div>

<\/div>\n

\u7b2c8\u56de\u00a0<\/span>RNN\u3068NLP<\/h4>\n

LSTM\u30fb\u30a2\u30c6\u30f3\u30b7\u30e7\u30f3\u306a\u3069\u3001Seq2seq
\n\u6f14\u7fd2\uff1a\u6a5f\u68b0\u7ffb\u8a33<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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\u7b2c9\u56de\u00a0<\/span>\u751f\u6210\u30e2\u30c7\u30eb<\/h4>\n

VAE\u3001GAN\u3001\uff08\u81ea\u5df1\u56de\u5e30\u30e2\u30c7\u30eb\uff09\u306a\u3069\u306e\u7d39\u4ecb\u3001\u5fdc\u7528\u4f8b
\n\u6f14\u7fd2\uff1aVAE<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>

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\u7b2c10\u56de\u00a0<\/span>\u5f37\u5316\u5b66\u7fd2<\/h4>\n

\u5f37\u5316\u5b66\u7fd2\u306e\u6982\u8981\u3001DQN\u3001\u5fdc\u7528\u4f8b
\n\u6f14\u7fd2\uff1aDQN\u3068\u30b2\u30fc\u30e0AI<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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\u7b2c11\u56de\u00a0<\/span>Deep Learning\u306e\u6700\u65b0\u52d5\u5411\u3068\u4eca\u5f8c\u306e\u5c55\u671b<\/h4>\n

\u7279\u5225\u8b1b\u7fa9\uff1a\u677e\u5c3e\u8c4a<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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\u30b9\u30d7\u30ea\u30f3\u30b0\u30bb\u30df\u30ca\u30fc<\/h4>\n

\u751f\u6210\u30e2\u30c7\u30eb\u3001\u5f37\u5316\u5b66\u7fd2\u3001NLP\u306e\u3044\u305a\u308c\u304b\u306b\u53c2\u52a0
\n\uff08\u305d\u308c\u305e\u308c\u8a083\u56de\uff09<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>

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\u6700\u7d42\u56de\u00a0<\/span>Deep Learning Day<\/h4>\n

\u30b9\u30da\u30b7\u30e3\u30eb\u30a4\u30d9\u30f3\u30c8
\n\u57fa\u8abf\u8b1b\u6f14 & \u6700\u7d42\u767a\u8868<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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\u203b \u6388\u696d\u30b3\u30f3\u30c6\u30f3\u30c4\u306b\u95a2\u3057\u3066\u306f\u3001\u5909\u66f4\u3059\u308b\u53ef\u80fd\u6027\u304c\u3054\u3056\u3044\u307e\u3059\u3002\u3054\u4e86\u627f\u4e0b\u3055\u3044\u3002<\/p>\n<\/div><\/div>\n

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\u7279\u5225\u8b1b\u7fa9<\/h2>\n<\/div><\/div>
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\n \"\" <\/div>\n <\/div>\n \n\n\n
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\n <\/h3>\n <\/div>\n\n
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\n Laurence Moroney <\/h4>\n <\/div>\n\n
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\n Google Brain <\/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>

“Machine Learning and TensorFlow” (TBD)<\/h3>\n

by\u00a0Laurence Moroney, Google Brain<\/p>\n

Laurence Moroney is a Developer Advocate at Google Brain, working on AI and Machine Learning with TensorFlow. He’s also the host of several YouTube shows for developers, including ‘TensorFlow Meets’, ‘Coding TensorFlow’ and ‘Coffee with a Googler’. He’s spoken around the world on topics to do with AI, and is particularly passionate about teaching developers the opportunities that come with Machine Learning and Deep Learning. He’s the author of more then 20 programming books on web and mobile development. When not Googling, he’s also the author of best selling science fiction novels and comic books, and is the produced screenwriter of a sci-fi TV series.<\/p>\n<\/div><\/div>\n \n\n \n 12\/5\u7279\u5225\u8b1b\u7fa9\u306e\u7533\u8fbc <\/a>\n \n\n\n <\/div>\n\n\n\n\n

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“Deep Learning\u3068GPU\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0” (TBD)<\/h3>\n

by \u5c71\u5d0e\u548c\u535a\u6c0f & \u4e39\u611b\u5f66\u6c0f, Nvidia JAPAN<\/p>\n

\u30fbGPU\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u3068\u6b74\u53f2
\n\u30fbGPU\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u7279\u6027
\n\u30fb\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0
\n\u30fbCUDA\/cuDNN\u306b\u3088\u308b\u9ad8\u901f\u5316
\n\u30fb\u30dc\u30c8\u30eb\u30cd\u30c3\u30af\u3068\u306a\u308b\u30dd\u30a4\u30f3\u30c8\u306e\u5909\u9077
\n\u30fb\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0 (\u30d7\u30ed\u30d5\u30a1\u30a4\u30e9\u306e\u4f7f\u3044\u65b9)
\n\u30fb\u9ad8\u901f\u5316\u306e\u305f\u3081\u306e\u30c4\u30fc\u30eb\u7fa4 (Apex\/DALI\/etc.)<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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

\n \u5c71\u5d0e\u548c\u535a\u6c0f & \u4e39\u611b\u5f66\u6c0f <\/h4>\n <\/div>\n\n
\n
\n Nvidia JAPAN <\/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>
\n
<\/div>\n\n

\u4f01\u753b\u30fb\u904b\u55b6\u30fb\u8b1b\u5e2b<\/h2>\n<\/div><\/div>
\n
\n \n
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\n
\n \"\" <\/div>\n <\/div>\n \n\n\n
\n\n
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\n <\/h3>\n <\/div>\n\n
\n

\n \u677e\u5c3e\u8c4a <\/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
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\n \"\" <\/div>\n <\/div>\n \n\n\n
\n\n
\n

\n <\/h3>\n <\/div>\n\n
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\n \u4e2d\u5c71\u6d69\u592a\u90ce <\/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
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\n \"\" <\/div>\n <\/div>\n \n\n\n
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\n <\/h3>\n <\/div>\n\n
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\n \u9234\u6728\u96c5\u5927 <\/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 \u5927\u6fa4 \u6607\u5e73 <\/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
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\n <\/h3>\n <\/div>\n\n
\n

\n \u66fd\u6839\u5ca1 \u4f91\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 \u5de3\u7c60 \u60a0\u8f14 <\/h4>\n <\/div>\n\n
\n
\n MICIN, inc. <\/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 \u5ca9\u6fa4 \u6709\u7950 <\/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><\/div><\/div><\/div>
<\/span><\/div>

\u30b9\u30bf\u30c3\u30d5<\/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 \u85e4\u91ce \u66a2 <\/h4>\n <\/div>\n\n
\n
\n \u6771\u4eac\u5927\u5b66\u5927\u5b66\u9662\u65b0\u9818\u57df\u5275\u6210\u79d1\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 \u68ee\u4e0b \u771f\u5e78 <\/h4>\n <\/div>\n\n
\n
\n \u6771\u4eac\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u7406\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 \u4e45\u4fdd \u9759\u771f <\/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><\/div><\/div><\/div><\/div>
<\/span><\/div>

\u65e5\u7a0b<\/h2>\n<\/div><\/div>
<\/p>\n\n\n\n\n\n\n\n\n
\u52df\u96c6\u958b\u59cb<\/th>\n2018\/08\/21<\/td>\n<\/tr>\n
\u52df\u96c6\u7de0\u3081\u5207\u308a<\/th>\n2018\/09\/10<\/td>\n<\/tr>\n
\u52df\u96c6\u7de0\u3081\u5207\u308a<\/th>\n2018\/09\/10<\/td>\n<\/tr>\n
\u6388\u696d\u958b\u59cb<\/th>\n2018\/10\/04<\/td>\n<\/tr>\n
\u30b9\u30d7\u30ea\u30f3\u30b0\u30bb\u30df\u30ca\u30fc<\/th>\n2019\/02<\/td>\n<\/tr>\n
Deep Learning JP Day & \u4fee\u4e86<\/th>\n2019\/03<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p>\n\n\n\n\n
\u62db\u5f85\u8b1b\u6f14<\/th>\n2018\/11\/07<\/td>\n2\u53f7\u9928212\u53f7<\/td>\n<\/tr>\n
\u62db\u5f85\u8b1b\u6f14<\/th>\n2018\/12\/05<\/td>\n2\u53f7\u9928212\u53f7<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/div><\/div><\/div>

<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u7b2c1\u56de<\/th>\n2018\/10\/04<\/td>\n\u4f0a\u85e4\u56fd\u969b\u30db\u30fc\u30eb<\/td>\n18:45~20:30<\/td>\n<\/tr>\n
\u7b2c2\u56de<\/th>\n2018\/10\/11<\/td>\n2\u53f7\u9928212\u53f7<\/td>\n18:45~20:30<\/td>\n<\/tr>\n
\u7b2c3\u56de<\/th>\n2018\/10\/18<\/td>\n2\u53f7\u9928212\u53f7<\/td>\n18:45~20:30<\/td>\n<\/tr>\n
\u7b2c4\u56de<\/th>\n2018\/10\/25<\/td>\n2\u53f7\u9928212\u53f7<\/td>\n18:45~20:30<\/td>\n<\/tr>\n
\u7b2c5\u56de<\/th>\n2018\/11\/01<\/td>\n5\u53f7\u992851\u53f7<\/td>\n18:45~20:30<\/td>\n<\/tr>\n
\u7b2c6\u56de<\/th>\n2018\/11\/08<\/td>\n2\u53f7\u9928212\u53f7<\/td>\n18:45~20:30<\/td>\n<\/tr>\n
\u7b2c7\u56de<\/th>\n2018\/11\/15<\/td>\n2\u53f7\u9928212\u53f7<\/td>\n18:45~20:30<\/td>\n<\/tr>\n
\u7b2c8\u56de<\/th>\n2018\/11\/22<\/td>\n2\u53f7\u9928212\u53f7<\/td>\n18:45~20:30<\/td>\n<\/tr>\n
\u7b2c9\u56de<\/th>\n2018\/11\/29<\/td>\n2\u53f7\u9928212\u53f7<\/td>\n18:45~20:30<\/td>\n<\/tr>\n
\u7b2c10\u56de<\/th>\n2018\/12\/06<\/td>\n2\u53f7\u9928212\u53f7<\/td>\n18:45~20:30<\/td>\n<\/tr>\n
\u7b2c11\u56de<\/th>\n2018\/12\/13<\/td>\n2\u53f7\u9928212\u53f7<\/td>\n18:45~20:30<\/td>\n<\/tr>\n
\u7b2c12\u56de<\/th>\n2019\/01\/10<\/td>\n5\u53f7\u992851\u53f7<\/td>\n18:45~20:30<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>

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

\u52df\u96c6\u8981\u9805<\/h2>\n