<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Mon, 20 Apr 2026 18:49:29 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/deep-running/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[mnist 데이터를 가지고 딥러닝하는 소스]]></title><description><![CDATA[mnist 데이터를 one-hot으로 읽어들여서 tansorboard 데이터를 만들고 훈련 결과를 저장합니다. %autosave 0 def reset_graph(seed=42): tf.reset_default_graph() tf.set_random_seed(seed) np.random.seed(seed) from]]></description><link>http://direct.ecency.com/deep-running/@south-man/mnist</link><guid isPermaLink="true">http://direct.ecency.com/deep-running/@south-man/mnist</guid><category><![CDATA[deep-running]]></category><dc:creator><![CDATA[south-man]]></dc:creator><pubDate>Wed, 02 May 2018 09:42:27 GMT</pubDate><enclosure url="https://images.ecency.com/p/2gsjgna1uruvUuS7ndh9YqVwYGPLVszbFLwwpAYXZ1CgSdDTXFPsX1Ue7hRLNFVCiRndov5TpFQtQJ3njXMrkK5f9QoLXhxMpgpzhmH5jV4VY16uGA?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[모두를 위한 머신러닝/딥러닝 강의 링크]]></title><description><![CDATA[딥러닝 공부를 좀 할려는데, 모두를 위한 머신러닝/딥러닝 강의가 좋다는 소문이 있네요. 기대가 되는 강의 입니다.]]></description><link>http://direct.ecency.com/lecture/@south-man/3wiqwb</link><guid isPermaLink="true">http://direct.ecency.com/lecture/@south-man/3wiqwb</guid><category><![CDATA[lecture]]></category><dc:creator><![CDATA[south-man]]></dc:creator><pubDate>Sat, 07 Apr 2018 09:33:27 GMT</pubDate><enclosure url="https://images.ecency.com/p/2gsjgna1uruvUuS7ndh9YqVwYGPLVszbFLwwpAYXYgQLDjFeLyUkM355MLaqPyjKXEn1tt5Mc6akszArCDXnfCV8F2ZDpqs1fSaZop2F86kxk3CE86?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>