<?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>Thu, 23 Apr 2026 03:55:57 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/stochasticmodel/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[[딥러닝 - 2] 딥러닝의 시초, Restricted Boltzmann Machines(RBMs)]]></title><description><![CDATA[반갑습니다. @yoonheeseung 입니다. 딥러닝 첫 리뷰를 쓰고 꽤 오랜시간이 지나서 두번째 리뷰를 작성합니다. 오늘 제가 공부한 내용은 Unsupervised Learning의 한 방법인 Restricted Boltzmann Machines(RBMs) 입니다. RBM은 딥러닝의 아버지라 불리는 Geoff Hinton 교수가 이전 신경망의 여러 문제들,]]></description><link>http://direct.ecency.com/kr/@yoonheeseung/2-restricted-boltzmann-machines-rbms</link><guid isPermaLink="true">http://direct.ecency.com/kr/@yoonheeseung/2-restricted-boltzmann-machines-rbms</guid><category><![CDATA[kr]]></category><dc:creator><![CDATA[yoonheeseung]]></dc:creator><pubDate>Tue, 13 Feb 2018 12:22:51 GMT</pubDate><enclosure url="https://images.ecency.com/p/62PdCouTvNPDuXRaduVYiCb9hxbZWDcAb1acVYBWNoSVNJaW3jMQuH8bfnw4w93YcmnA2tgMY7gdcVEadikjJNat9L49HhFuajSunbjcNrHUbJE?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>