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I am trying to understand how the code works to recognize images. I have many questions but the main one at the moment is what are these arguments for:
arg1 = num_network_nodes (int)
arg2 = num_features (int)
What exactly do they do when it comes to kohonen or backprop?
Edit: I think i understood what they are for, the problem still remains though. Every time i run the train set i get completely different results. Same train set, same test set, same arguments -> COMPLETELY different results.
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