To me, this seems similar to training a neural network on 10,000 images and then publishing the weights themselves as a distilled "image" (of course, it's not t

To me, this seems similar to training a neural network on 10,000 images and then publishing the weights themselves as a distilled "image" (of course, it's not the weights themselves but a "distillation"). I feel like you could get something similar by taking the trained network and then applying deep-dream techniques for each classification label on a blank canvas.