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Some time ago I decided to try to understand the concepts of neuron networks (out of curiosity mostly, prior to that day knowing nearly nothing particular about them). After rather extensive google'ing in both my native tongue and English, seemed, I gathered enough info to grasp very basics. Even broke through involved math, at least I thought so, thought, I was ready/able to model a neural network in SQF now. Which I did. Problems however started when it came to proper traininig of such network. While I'm interested mostly in unsupervised learning, tried both, un- and supervised (probably didn't 100% grasp the math of backpropagation here though). Results was IMO either partially promising or a failure (depending on network architecture, input values, learning parameters...), in general not desired/expected by me. Anyway, now returned to this. My problem is, I lack working with 100% certainty SQF reference (while not familiar with any other programming language enough to benefit from available in the internet examples), so I don't know, either I'm doing something wrong, either I expect not, what I should/misuse the network somehow. Is there any good soul, who successfully implemented neural network and trained it with good result using SQF and could share his code here? What I have so far (unsupervised part only, code described mostly in Polish to make learning easier for me): (with the above code I'm for now simply trying to make the nn to properly classify numerical input data (be it 2D coords for example) into few classes by returning distinctive numerical output per category)