In short, these guys are using deep neural nets to find good hyperparameters for training other deep neural nets, and this works as well as a Gaussian Process[1] but is more scalable and can be parallelized, allowing for faster optimization of hyperparameters.<p>--<p>[1] For example, like Spearmint: <a href="https:&#x2F;&#x2F;github.com&#x2F;JasperSnoek&#x2F;spearmint" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;JasperSnoek&#x2F;spearmint</a>