Or a simple neural net , right ? I mean , the thing is , if you 're doing correlation , you 're just doing a simple  uh , uh  uh , dot product , you know , with some weights which you happened to learn from this  learn from the data.
Mm - hmm.
And so , uh , putting a nonlinearity on it is ,  you know , not that big a deal. It certainly doesn't take much space.
Mm - hmm. Right.