<?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>https://ecency.com</link><image><url>https://ecency.com/logo512.png</url><title>RSS Feed</title><link>https://ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Mon, 14 Sep 2026 00:45:06 GMT</lastBuildDate><atom:link href="https://ecency.com/created/backprop/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Only Numpy: Deriving Forward feed and Back Propagation in Long Short Term Memory (LSTM) part 1]]></title><link>https://ecency.com/@cryptoone/only-numpy-deriving-forward-feed-and-back-propagation-in-long-short-term-memory-lstm-part-1</link><guid isPermaLink="true">https://ecency.com/@cryptoone/only-numpy-deriving-forward-feed-and-back-propagation-in-long-short-term-memory-lstm-part-1</guid><category><![CDATA[numpy]]></category><dc:creator><![CDATA[cryptoone]]></dc:creator><pubDate>Sat, 03 Mar 2018 18:25:39 GMT</pubDate></item><item><title><![CDATA[Only Numpy: Vanilla Recurrent Neural Network Deriving Back propagation Through Time Practice — part 1/2]]></title><link>https://ecency.com/@cryptoone/only-numpy-vanilla-recurrent-neural-network-deriving-back-propagation-through-time-practice-part-1-2</link><guid isPermaLink="true">https://ecency.com/@cryptoone/only-numpy-vanilla-recurrent-neural-network-deriving-back-propagation-through-time-practice-part-1-2</guid><category><![CDATA[numpy]]></category><dc:creator><![CDATA[cryptoone]]></dc:creator><pubDate>Sat, 03 Mar 2018 18:19:57 GMT</pubDate></item></channel></rss>