Optimal Approximation with Sparsely Connected Deep Neural Networks · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/1705.01714/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTOptimal Approximation with Sparsely Connected Deep Neural Networks — mentioned by ilzmastrhttps://news.ycombinator.com/item?id=17427591urn:hackerpapers:mention:1705.01714:17427591Fri, 29 Jun 2018 20:26:47 GMT<p>Are you only interested in ML practicum? What did you take after real analysis? What are your thoughts/interests on analysis for ML, like the approximation theory that branched from Fourier and Wavelet analysis catching on with Cybenko [1], continuing with among others Mhaskar [2], most recently added to by Bolcskei [3]. And then there are other areas where analysis applies like studying the optimization of such networks... (And of course, this is just for NNs. There are other areas of research where analysis comes into ML. And of course, real analysis lays the foundations for probability and…</p><p><a href="https://hackerpaper.kaipfister.de/p/1705.01714/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.LG