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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recent Advances in Convolutional Neural Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1512.07108/</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/1512.07108/feed.xml" rel="self" type="application/rss+xml" /><item><title>Recent Advances in Convolutional Neural Networks — mentioned by jacobsimon</title><link>https://news.ycombinator.com/item?id=38064935</link><guid isPermaLink="false">urn:hackerpapers:mention:1512.07108:38064935</guid><pubDate>Mon, 30 Oct 2023 02:06:42 GMT</pubDate><description>&lt;p&gt;This is a really weird take. There is such a long history of shared insights between biology and neural network research, and to say they’re unrelated or can’t take inspiration from one another is bizarre. &amp;gt; The concept of CNNs didn&amp;#x27;t come from biology I just opened a survey paper on CNNs and literally the first sentence of the paper reads: &amp;gt; “Convolutional Neural Network (CNN) is a well-known deep learning architecture inspired by the natural visual perception mechanism of the living creatures. In 1959, Hubel &amp;amp; Wiesel [1] found that cells in animal visual cortex are responsible for detecting…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1512.07108/"&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>
