We’ve published an article with Neuroph performance analysis and released the development version of Neuroph 2.5a which contains backpropagation implementation optimized for high performance. Along with this we’ve included benchmarking code contributed by tahere as separate NetBeans project. We also announced development plans to improve Neuroph performance and we expect to get feedback from our community and contibutors. We allready managed to improve performance significantly, but we’re going to try some more in order to be competitive with other frameworks. Also we have some results that may show that recent benchmarking might be misleading, but we need some more testing to do.
It was a real GOOD OLD AI day today! Just a couple of hours after Filip has become a BSc, Ana has defended her PhD thesis in a brilliant session, with most positive reactions from the members of the committee. Congratulations, Ana!
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