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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1805.08691/</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/1805.08691/feed.xml" rel="self" type="application/rss+xml" /><item><title>Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe — mentioned by SomaticPirate</title><link>https://news.ycombinator.com/item?id=19203849</link><guid isPermaLink="false">urn:hackerpapers:mention:1805.08691:19203849</guid><pubDate>Tue, 19 Feb 2019 23:04:44 GMT</pubDate><description>&lt;p&gt;Disagree. https://arxiv.org/abs/1805.08691 demonstrates 8-bit architecture for a pre-trained CNN provides more than acceptable results with lower latency and higher throughput than a higher precision version.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1805.08691/"&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>
