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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>DyNet: The Dynamic Neural Network Toolkit · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1701.03980/</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/1701.03980/feed.xml" rel="self" type="application/rss+xml" /><item><title>DyNet: The Dynamic Neural Network Toolkit — mentioned by indescions_2017</title><link>https://news.ycombinator.com/item?id=15458123</link><guid isPermaLink="false">urn:hackerpapers:mention:1701.03980:15458123</guid><pubDate>Thu, 12 Oct 2017 14:22:08 GMT</pubDate><description>&lt;p&gt;AWS / MSR response to dynamic graph computation paradigms such as Chainer, Tensorflow Fold. There is certainly a distribution advantage to having this be the default backend engine as so many store their data on S3, Redhsift. The DyNet paper is still the best source for background on the relative advantages to using &amp;quot;Define-By-Run&amp;quot; networks: DyNet: The Dynamic Neural Network Toolkit https://arxiv.org/pdf/1701.03980v1.pdf Now I just need to get to where scaling to 1000 GPUs is a problem I actually have ;)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1701.03980/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item><item><title>DyNet: The Dynamic Neural Network Toolkit — HN submission</title><link>https://news.ycombinator.com/item?id=13421647</link><guid isPermaLink="false">urn:hackerpapers:submission:1701.03980:13421647</guid><pubDate>Tue, 17 Jan 2017 21:49:57 GMT</pubDate><description>&lt;p&gt;DyNet: The Dynamic Neural Network Toolkit&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1701.03980/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item><item><title>DyNet: The Dynamic Neural Network Toolkit — HN submission</title><link>https://news.ycombinator.com/item?id=13415929</link><guid isPermaLink="false">urn:hackerpapers:submission:1701.03980:13415929</guid><pubDate>Tue, 17 Jan 2017 08:37:12 GMT</pubDate><description>&lt;p&gt;DyNet: The Dynamic Neural Network Toolkit&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1701.03980/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item></channel></rss>
