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I don't think you need to know all the math behind NNs in order to successfully learn how to use one. I certainly don't and I've been using the encog library (b

by retube 16y ago

I don't think you need to know all the math behind NNs in order to successfully learn how to use one. I certainly don't and I've been using the encog library (by Heaton) for a while with great success. And you definitely do not need to be a mathematician to need one. Yes, there are some general principles and concepts you need to know/understand, but nothing particularly deep. Edit: Actually I'd highly recommend encog: it's very easy to use, it's extremely well documented and for those of us that do not have a formal education in NNs it's a great place to get started. http://www.heatonresearch.com/encog http://www.heatonresearch.com/encog

brent 16y ago
I'm not sure you've actually addressed his concern. I think the ability to use one (in an engineering sense) and get seemingly good results is separate from the issue of fully utilizing them. You are likely better off using a much more hands off tool that requires little knowledge of the underlying mechanism (to his point, d trees and svm).