I am training a simple BP neural network with 8 inputs, 1 output and 1 hidden layer with 10 nodes in it. my weight matrices is a set of numbers between -1 and 1; but I can not get a physical meaning about these weights. Are weights in accordance with importance of the inputs in the model? shouldn't I get higher weights for inputs which are more correlated with the output? how can get a physical meaning about resulted weights?
THANK YOU
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