in L in terms of the loss because we don't need necessarily a single label this could be for unsupervised this could be for anything okay so it Maps a data point to a loss now what we'll do is we'll simply linearize the function around that point which means we'll just freeze all the nonlinearities in place and that will give us this linear function right here okay we just observe that this linear function can exist it's the tangent to the lost landscape and it's at a particular data point right it's in data space not in in weight