Subject: Re: [xsl] Performance of XSLT in a neural network application From: "Liam R. E. Quin liam@xxxxxxxxxxxxxxxx" <xsl-list-service@xxxxxxxxxxxxxxxxxxxxxx> Date: Sat, 22 Aug 2020 16:33:02 -0000 |
On Sat, 2020-08-22 at 13:21 +0000, Roger L Costello costello@xxxxxxxxx wrote: > > Conclusion: XSLT is not a viable language for creating neural > networks. We planted parsnip seeds in the garden and they didn't grow. But the carrots grew. Conclusion, parsnips are not a viable food source? What you have shown is that you have written a program that runs slowly. The first version of the text retrieval system i wrote in the 1980s took ,ore than 12 hours to index a small test-set. The next version took an hour. After several years of improving the system, it became one of the two fastest text retrieval packages in existence and could build the same index (actually with more information in it) in a matter of seconds. The question is how much it's worth to spend effort making a program faster. It happens that i switched implementation languages and got a 10-fold performance increase, but i then got a 1,000-fold performance increase from other techniques. Having said that, you could maybe consider Go or even Rust for your neural network. Liam -- Liam Quin,B https://www.delightfulcomputing.com/ Available for XML/Document/Information Architecture/XSLT/ XSL/XQuery/Web/Text Processing/A11Y training, work & consulting. Barefoot Web-slave, antique illustrations: B http://www.fromoldbooks.org
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