points you take a point you corrupt it so you you add noise to it for example in this case and then you train the your parameterize neural net to map this input to the output okay you feed this as input and you tell it you should map it here once the system is trained you can actually plot the vector field of you know those are little vectors that point in the direction where the neural net if you feed with this input would would take you I mean you have to lengthen the the thing but they almost all take you to the to the manifold here