<?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>Tue, 05 May 2026 02:53:35 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/@koreamin/rss" rel="self" type="application/rss+xml"/><item><title><![CDATA[Tensorflow - MNIST]]></title><description><![CDATA[안녕하세요. steemit 가입하고 첫 글 씁니다. 머신러닝과 주식 관련된 포스트를 올릴 생각입니다. 반갑습니다. 스팀잇 유저 여러분! Tensorflow - MNIST 1. MNIST File Read MNIST Data를 다운받아서 python에 불러온다. 일반적으로 머신러닝을 위해서 데이터를 구하고, 데이터를 나누고 (Training Data + Testing]]></description><link>http://direct.ecency.com/kr/@koreamin/tensorflow-mnist</link><guid isPermaLink="true">http://direct.ecency.com/kr/@koreamin/tensorflow-mnist</guid><category><![CDATA[kr]]></category><dc:creator><![CDATA[koreamin]]></dc:creator><pubDate>Mon, 11 Sep 2017 02:28:21 GMT</pubDate></item></channel></rss>