[gradys]

So in concrete terms, does this mean that we show the network an image, choose one layer's output vector, and then back-propagate gradients to the image such that the direction of that vector stays the same, but the magnitude increases?

[murbard2]

That is my understanding of the blog post, yes.

That plus a prior on the input pixels to keep it image-like.