i have a vague suspicion, without evidence, that many of these systems are trained to overfit their training sets horrendously. i won't claim that all networks

i have a vague suspicion, without evidence, that many of these systems are trained to overfit their training sets horrendously. i won't claim that all networks overfit the data, but i suspect the methods tend to be prone to overfitting more than other methods that have far less parameters to optimise. this doesn't really matter in order to generate a bunch of fun pictures and visualisations.