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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Evolving Deep Neural Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1703.00548/</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/1703.00548/feed.xml" rel="self" type="application/rss+xml" /><item><title>Evolving Deep Neural Networks — mentioned by ofrancon</title><link>https://news.ycombinator.com/item?id=16651677</link><guid isPermaLink="false">urn:hackerpapers:mention:1703.00548:16651677</guid><pubDate>Thu, 22 Mar 2018 19:09:06 GMT</pubDate><description>&lt;p&gt;A few links you can look at if you&amp;#x27;re interested in neuroevolution, from the same group of researchers: Ken Stanley and Risto Miikkulainen original NEAT (NeuroEvolution of Augmenting Topologies) paper: http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf Ken Stanley&amp;#x27;s novelty search page, and a link to his book, &amp;quot;Why Greatness Cannot Be Planned: The Myth of the Objective&amp;quot;: http://eplex.cs.ucf.edu/noveltysearch/userspage/ Risto Miikkulainen&amp;#x27;s Evolving Deep Neural Networks paper: https://arxiv.org/abs/1703.00548 Ken Stanley &amp;amp; team&amp;#x27;s work at Uber, with links to some recent papers…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1703.00548/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item><item><title>Evolving Deep Neural Networks — mentioned by indescions_2017</title><link>https://news.ycombinator.com/item?id=14766044</link><guid isPermaLink="false">urn:hackerpapers:mention:1703.00548:14766044</guid><pubDate>Thu, 13 Jul 2017 23:04:01 GMT</pubDate><description>&lt;p&gt;The Asteroids demo is cool too: https://xviniette.github.io/AsteroidsLearning/ AI Lab at UTexas Austin has more Atari 2600 NEAT demos as well. The Kung Fu Master &amp;quot;button masher&amp;quot; style makes me think a Street Fighter V agent would be hilarious to see in Human vs AI competitive action! http://www.cs.utexas.edu/~ai-lab/?atari For a proof of concept, this shows the capability of ML in a web browser. Creating an ad hoc cluster of a hundred webrtc peers would yield a formidable (but slow) meta learner. And just to put it in perspective: sentient.ai&amp;#x27;s petascale darkcycle cluster consists of ~1M CPUs…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1703.00548/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item><item><title>Evolving Deep Neural Networks — HN submission</title><link>https://news.ycombinator.com/item?id=13868969</link><guid isPermaLink="false">urn:hackerpapers:submission:1703.00548:13868969</guid><pubDate>Tue, 14 Mar 2017 16:32:44 GMT</pubDate><description>&lt;p&gt;Evolving Deep Neural Networks&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;26 points; 6 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1703.00548/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item></channel></rss>
