<?xml version="1.0" encoding="utf-8"?>
<feed xml:lang="en" xmlns="http://www.w3.org/2005/Atom"><title>Recent posts to news</title><link href="https://sourceforge.net/p/eblearn/news/" rel="alternate"/><link href="https://sourceforge.net/p/eblearn/news/feed.atom" rel="self"/><id>https://sourceforge.net/p/eblearn/news/</id><updated>2010-01-06T18:30:13Z</updated><subtitle>Recent posts to news</subtitle><entry><title>network templatization</title><link href="https://sourceforge.net/p/eblearn/news/2010/01/network-templatization/" rel="alternate"/><published>2010-01-06T18:30:13Z</published><updated>2010-01-06T18:30:13Z</updated><author><name>Pierre Sermanet</name><uri>https://sourceforge.net/u/sermanet/</uri></author><id>https://sourceforge.netc143bb4618e25660e9f677b9446f9302e06c3b42</id><summary type="html">&lt;div class="markdown_content"&gt;&lt;p&gt;The neural nets are now templatizable when they were fixed with double precision before. e.g.: &lt;br /&gt;
linear_module l;&lt;br /&gt;
is now declared:&lt;br /&gt;
linear_module&amp;lt;float&amp;gt; l;&lt;/p&gt;&lt;/div&gt;</summary></entry></feed>