I think the optimal way to do this would be to use an RNN that can walk up and down the DOM. So it starts at the HTML tag, and chooses which path to go up and d

I think the optimal way to do this would be to use an RNN that can walk up and down the DOM. So it starts at the HTML tag, and chooses which path to go up and down, visiting each node. Then iterate through every style attribute and predict what value it should have. This would create a simple way of generating CSS styles for a document, without dealing with the complicated issues of RNNs having limited memory and producing correct syntax. Then you can use these predictions as a prior probability over what the CSS styles should be. Then you can use some kind of bayesian optimization to find the optimal settings in the least number of experiments.