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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Representation Benefits of Deep Feedforward Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1509.08101/</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/1509.08101/feed.xml" rel="self" type="application/rss+xml" /><item><title>Representation Benefits of Deep Feedforward Networks — mentioned by chriskanan</title><link>https://news.ycombinator.com/item?id=10419265</link><guid isPermaLink="false">urn:hackerpapers:mention:1509.08101:10419265</guid><pubDate>Tue, 20 Oct 2015 14:17:30 GMT</pubDate><description>&lt;p&gt;There is a recent 5 page theoretical paper on this topic that I thought was pretty interesting, and it tackles both deep nets and recurrent nets: http://arxiv.org/abs/1509.08101 Here is the abstract: This note provides a family of classification problems, indexed by a positive integer k, where all shallow networks with fewer than exponentially (in k) many nodes exhibit error at least 1/6, whereas a deep network with 2 nodes in each of 2k layers achieves zero error, as does a recurrent network with 3 distinct nodes iterated k times. The proof is elementary, and the networks are standard…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1509.08101/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Representation Benefits of Deep Feedforward Networks — HN submission</title><link>https://news.ycombinator.com/item?id=10419236</link><guid isPermaLink="false">urn:hackerpapers:submission:1509.08101:10419236</guid><pubDate>Tue, 20 Oct 2015 14:14:07 GMT</pubDate><description>&lt;p&gt;Representation Benefits of Deep Feedforward Networks&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1509.08101/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
