you can take a convolutional net and you don't even need to learn the parameters of it at all you just use the model architecture and it's already useful for things like in painting images I think that shows us that the convolutional network architecture captures something really important about the structure of images and we don't need to actually use learning to capture all the information coming out of the convolutional net that would that would imply that it would be much harder to make generative models in