Isn't DNN simply the way how we currently implement pattern recognition by statistical learning? I mean, you can do it a bunch of other ways too, but at the moment it seems that e.g. pattern recognition by a convolutional net trained on lots of unlabeled images is a better way that many classic algorithmic approaches to detecting specific patterns/features.