train a neural net to map it back so my reconstruction error now is the distance between the noisy sample and the original one and so it's going to make the energy kind of be large outside the the region of data and I'll come back to this a little more explicitly but my favorite one is the last one and that last one says we're going to regularize some parameter inside the network so that the volume of stuff that is properly reconstructed is low okay so we're going to make the system pay for reconstructing too many things and how