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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1505.00393/</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/1505.00393/feed.xml" rel="self" type="application/rss+xml" /><item><title>ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks — mentioned by kastnerkyle</title><link>https://news.ycombinator.com/item?id=10029259</link><guid isPermaLink="false">urn:hackerpapers:mention:1505.00393:10029259</guid><pubDate>Sun, 09 Aug 2015 01:51:45 GMT</pubDate><description>&lt;p&gt;This is really cool stuff - the network structure reminds me a lot of Graves&amp;#x27; MDRNN[1] and Grid LSTM[2], as well as some work I helped with (ReNet [3]) I wonder if the structure over frequency/time is too &amp;quot;regular&amp;quot; - in general for sound the frequency correlation and the time correlation are on wildly different scales. Also if you are looking to go farther you might reconsider adding NADE or RBM [4] on top, or latent variables in the hiddens[5][6] to add more stochasticity. There was some alternate work by Kratarth Goel extending RNN-RBM to LSTM and DBN, it might give you some ideas to look…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1505.00393/"&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>ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks — HN submission</title><link>https://news.ycombinator.com/item?id=9495249</link><guid isPermaLink="false">urn:hackerpapers:submission:1505.00393:9495249</guid><pubDate>Tue, 05 May 2015 21:56:43 GMT</pubDate><description>&lt;p&gt;A Recurrent Neural Network Based Alternative to Convolutional Networks&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;5 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1505.00393/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
