https://hackerpaper.kaipfister.de/p/1801.01078/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=19199377urn:hackerpapers:submission:1801.01078:19199377Tue, 19 Feb 2019 15:04:52 GMT<p>Recent Advances in Recurrent Neural Networks (2018)</p><p></p><p>2 points; 0 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/1801.01078/">Paper and source history</a>. A submission is not an endorsement.</p>cs.NEhttps://news.ycombinator.com/item?id=16089956urn:hackerpapers:mention:1801.01078:16089956Sun, 07 Jan 2018 08:52:11 GMT<p>This covers some of same topics plus the rapidly expanding #s of frameworks, SIMD /SIMT backends etc https://julialang.org/blog/2017/12/ml&amp;pl 20 pg tutorial on why RNN&#x27;s are tricky https://arxiv.org/abs/1801.01078</p><p><a href="https://hackerpaper.kaipfister.de/p/1801.01078/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.NEhttps://news.ycombinator.com/item?id=16067957urn:hackerpapers:submission:1801.01078:16067957Thu, 04 Jan 2018 04:06:37 GMT<p>Recent Advances in Recurrent Neural Networks</p><p></p><p>5 points; 0 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/1801.01078/">Paper and source history</a>. A submission is not an endorsement.</p>cs.NE