A simple classifier...does it work?
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Hi, I've just trained a Pattern Recognition Neural Network, that has to classify if there's or not a subject.
I gave it a target constituted by binary values organized in two columns that I had subsequently transposed to make it compatible with the network.
I also gave the network a dataset, constituted by n raws (signals) and m columns (samples), that I had to transposed for the same reason.
I choose a Hidden Size of 100, a validation checks of 50 and I obtained the results shown in attached figure, as gradient, performance, confusion, ROC and so on...
Can someone tell me if it works well or not?
Thank you, regards
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