A few simple marks for those who know the answer.
I'm doing revision for exams at the moment and one of the past questions is:
What is meant by the order of a perceptron?
I can't find any information about this in my lecture notes, and even google seems at a loss.
My guess is that the order is the number of layers in a neural network, but this doesn't seem quite right.
If you want to evaluate the order or cardinality of a multilayered NN you should consider just the number of inner layer as input and output layer are not considered belonging to the cardinality of the NN topology. For example a NN with 2 inner layer has order=2.
The funniest thing is that more than one layer is, most of the times, unusefull neither for performance neither for training.
