[markbnj]

I'm also pretty ignorant here, but if I understand word vectors correctly they are a trained model that results in the ability to predict the next word in a sequence. I can imagine extending that idea to images, i.e. in such a way that the color of a target pixel can predict the colors of surrounding pixels. I wonder if tools like Photoshop and Gimp don't already have similar algorithms for some advanced effects. In any case, it seems several layers of abstraction down the stack from the problem of attaching meaning to images. Isn't that more what the BOW approach tries to do?