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1. Is it possible for the neurons of an output layer to show errors if a neuron of the hidden layer has a zero error assigned by the backpropagation algorithm and does not change its weight coefficients?
2. How is the mean mark of the network functioning given? Can we assess the functioning of an entire network using a method that does not require analysis of single elements individually?