networks it's just the architecture is a little different but they have been produced like they have the same number of parameters in the neural network which neural network would you prefer remember you can in by training the neural network you can actually shape this loss function you can kind of shape that around so which one would you prefer I personally would prefer the top one because the top one already tells me that hey you know I might have 10 parameters here and this already sort of looks like each of the 10 parameters is