image you know blank out some of the areas of this image and then train a neural net the coefficient net or something to predict the missing parts the problem with this is that now the distribution of outputs is all is over a high dimensional continuous space and we don't know how to parameterize good distributions over those so those so far have not been very successful not to the extent that those have been successful so the way you use those things is you train this network and then you take the internal representation of language that