Yes. Though arguably this is just the same thing as the traditional approach to deep learning, which is to select features to input into a model. You don't always just have to train on raw information, pre-processing the input data and calculating specific features that we know, as humans, will be important for the final result and feeding those in addition to the raw data is a common approach. Don't see much difference between this and taking the output of a network and running it through a few decision trees. Most publishable projects applying AI you see typically have these type of human interaction on both sides of models.