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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Geometric Understanding of Deep Learning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1805.10451/</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/1805.10451/feed.xml" rel="self" type="application/rss+xml" /><item><title>Geometric Understanding of Deep Learning — mentioned by ghufran_syed</title><link>https://news.ycombinator.com/item?id=26137348</link><guid isPermaLink="false">urn:hackerpapers:mention:1805.10451:26137348</guid><pubDate>Sun, 14 Feb 2021 23:33:18 GMT</pubDate><description>&lt;p&gt;that course from princeton looks great! This paper is a nice short read and gives some geometric insight: https://arxiv.org/abs/1805.10451&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1805.10451/"&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>Geometric Understanding of Deep Learning — HN submission</title><link>https://news.ycombinator.com/item?id=18987211</link><guid isPermaLink="false">urn:hackerpapers:submission:1805.10451:18987211</guid><pubDate>Thu, 24 Jan 2019 09:33:21 GMT</pubDate><description>&lt;p&gt;Geometric Understanding of Deep Learning (2018)&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;164 points; 32 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1805.10451/"&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>
