<?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, 16 Apr 2026 09:56:41 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/autoencoders/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Unsupervised deep learning models used in computer vision]]></title><description><![CDATA[Introduction After a break, I wanted to post about this emerging field of unsupervised deep learning, since it is gaining momentum and achieving good results. The idea of this post is to give introduction]]></description><link>http://direct.ecency.com/deeplearning/@eneismijmich/unsupervised-deep-learning-models-used-in-computer-vision</link><guid isPermaLink="true">http://direct.ecency.com/deeplearning/@eneismijmich/unsupervised-deep-learning-models-used-in-computer-vision</guid><category><![CDATA[deeplearning]]></category><dc:creator><![CDATA[eneismijmich]]></dc:creator><pubDate>Sun, 21 May 2017 10:37:27 GMT</pubDate><enclosure url="https://images.ecency.com/p/2gsjgna1uruvUuS7ndh9YqVwYGPLVszbFLwwpAYXYmtF9VXZRuc6JLpYuZuA4iepvpZeT4vf75QTskvxDrydSqXwiKwdUyBRYJoxF2tnqKwafCpZJ6?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>