<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Fast Training of Convolutional Networks through FFTs · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1312.5851/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1312.5851/feed.xml" rel="self" type="application/rss+xml" /><item><title>Fast Training of Convolutional Networks through FFTs — mentioned by hadeson</title><link>https://news.ycombinator.com/item?id=24614406</link><guid isPermaLink="false">urn:hackerpapers:mention:1312.5851:24614406</guid><pubDate>Mon, 28 Sep 2020 08:40:37 GMT</pubDate><description>&lt;p&gt;It could be used to accelerate Convolutional Neural Nets training [0] [0] https://arxiv.org/abs/1312.5851&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1312.5851/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>Fast Training of Convolutional Networks through FFTs — mentioned by adapteva</title><link>https://news.ycombinator.com/item?id=9601983</link><guid isPermaLink="false">urn:hackerpapers:mention:1312.5851:9601983</guid><pubDate>Mon, 25 May 2015 22:24:01 GMT</pubDate><description>&lt;p&gt;It will be an image processing demo. Here&amp;#x27;s a hint... http://arxiv.org/abs/1312.5851&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1312.5851/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>Fast Training of Convolutional Networks through FFTs — mentioned by im3w1l</title><link>https://news.ycombinator.com/item?id=9411795</link><guid isPermaLink="false">urn:hackerpapers:mention:1312.5851:9411795</guid><pubDate>Tue, 21 Apr 2015 01:18:47 GMT</pubDate><description>&lt;p&gt;You should use FFT&amp;#x27;s for the convolution, see http://arxiv.org/abs/1312.5851 Also, while the original Blas was in Fortran, you probably want OpenBlas, which is in C. Or maybe Intels MKL.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1312.5851/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
