data points that means that one parameter can potentially serve these two data points or these two that are correlated by one or negative one you don't need both parameters and therefore you have a lot of parameters doing nothing whereas over here with the good networks you can see that this spikes around zero meaning that the data points are not correlated or the linearizations around the data points are not correlated and therefore you can sort of shape the function around each data point however you want which we sort of