neural network and then you train something to mimic that but like even they're like the weights are not going to look like that's similar but like kind of out with wise is yeah what we're looking at well yeah so we're interested like whether there are kind of functional similarities in these they're like like the actual outputs and so that's what we we study by making your your similarity measure parameterize by the examples not by the weights it factors out all these in variances and permutations and stuff like that inside