First, I would like to thank you for the excellent article.
It was a pleasure to read it. I gave it a five.
I have a comment regarding the problem with page faults in allocating the memory for Weights.
Indeed, to keep all network Weights in one vector or array or other container asks for a huge bulk of the memory.
The solution, in my opinion, is to use std::map<neuronfromprevlayer*, weghts=""> or stdext::hash_map for each neuron inputs connection. This map or pointer to it should be a member of the Neupon class. You can find this design in An' Oop articles on BrainNet on the CodeProject.
Again, thank you for the excellent work.
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