I am looking for recommended books (or other materials, like web pages) which demonstrate such examples -- structure of neural network (artificial) for given function.
I.e. what is the best (in sense, of being minimalistic, yet correct) network structure for function min with N arguments. Or for function abs. And so on.
The reason for my question (what books do you recommend?) is I would like to get proper "feeling" how to shape the network to get the desired effect without overkill having dense network which computes correctly, but very inefficiently.