{"id":574,"date":"2070-07-30T23:33:27","date_gmt":"2070-07-30T14:33:27","guid":{"rendered":"http:\/\/www.stechstar.com\/user\/wordpress\/?p=574"},"modified":"2017-07-31T00:01:58","modified_gmt":"2017-07-30T15:01:58","slug":"stechstar-com-%ed%95%ab-%ec%9d%b4%ec%8a%88-%ec%97%b0%ea%b5%ac-%ec%9e%90%eb%a3%8c-study-data","status":"publish","type":"post","link":"https:\/\/www.stechstar.com\/user\/wordpress\/stechstar-com-%ed%95%ab-%ec%9d%b4%ec%8a%88-%ec%97%b0%ea%b5%ac-%ec%9e%90%eb%a3%8c-study-data\/","title":{"rendered":"stechstar.com \ud56b \uc774\uc288 \uc5f0\uad6c \uc790\ub8cc [study data]"},"content":{"rendered":"<h1>stechstar.com \ud56b \uc774\uc288 \uc5f0\uad6c \uc790\ub8cc [study data]<\/h1>\n<ul>\n<li>\uc778\uacf5\uc9c0\ub2a5 \uc791\uace1 \/ \ub4dc\ub85c\uc789 (google tensorflow)\u00a0Magenta(\ub9c8\uc820\ud0c0) : <a href=\"https:\/\/magenta.tensorflow.org\/\">https:\/\/magenta.tensorflow.org\/<\/a><\/li>\n<li>tensorflow mobile : <a href=\"https:\/\/www.tensorflow.org\/mobile\/\">https:\/\/www.tensorflow.org\/mobile\/<\/a><\/li>\n<li>pyClips (python Clips interface) \u00a0: <a href=\"http:\/\/pyclips.sourceforge.net\/web\/\">http:\/\/pyclips.sourceforge.net\/web\/<\/a><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<div class=\"pvc_clear\"><\/div>\n<p id=\"pvc_stats_574\" class=\"pvc_stats all  \" data-element-id=\"574\" style=\"\"><i class=\"pvc-stats-icon medium\" aria-hidden=\"true\"><svg aria-hidden=\"true\" focusable=\"false\" data-prefix=\"far\" data-icon=\"chart-bar\" role=\"img\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\" class=\"svg-inline--fa fa-chart-bar fa-w-16 fa-2x\"><path fill=\"currentColor\" d=\"M396.8 352h22.4c6.4 0 12.8-6.4 12.8-12.8V108.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v230.4c0 6.4 6.4 12.8 12.8 12.8zm-192 0h22.4c6.4 0 12.8-6.4 12.8-12.8V140.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v198.4c0 6.4 6.4 12.8 12.8 12.8zm96 0h22.4c6.4 0 12.8-6.4 12.8-12.8V204.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v134.4c0 6.4 6.4 12.8 12.8 12.8zM496 400H48V80c0-8.84-7.16-16-16-16H16C7.16 64 0 71.16 0 80v336c0 17.67 14.33 32 32 32h464c8.84 0 16-7.16 16-16v-16c0-8.84-7.16-16-16-16zm-387.2-48h22.4c6.4 0 12.8-6.4 12.8-12.8v-70.4c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v70.4c0 6.4 6.4 12.8 12.8 12.8z\" class=\"\"><\/path><\/svg><\/i> <img loading=\"lazy\" decoding=\"async\" width=\"16\" height=\"16\" alt=\"Loading\" src=\"https:\/\/www.stechstar.com\/user\/wordpress\/wp-content\/plugins\/page-views-count\/ajax-loader-2x.gif\" border=0 \/><\/p>\n<div class=\"pvc_clear\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>stechstar.com \ud56b \uc774\uc288 \uc5f0\uad6c \uc790\ub8cc [study data] \uc778\uacf5\uc9c0\ub2a5 \uc791\uace1 \/ \ub4dc\ub85c\uc789 (google tensorflow)\u00a0Magenta(\ub9c8\uc820\ud0c0) : https:\/\/magenta.tensorflow.org\/ tensorflow mobile : https:\/\/www.tensorflow.org\/mobile\/ pyClips (python Clips interface) \u00a0: http:\/\/pyclips.sourceforge.net\/web\/ &nbsp; 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