Apropos my babbling about all patterns being patterns and all the mechanisms that recognize patterns being an incomprehensible jumble of mechanisms, Google shares One Model to Learn Them All, https://arxiv.org/abs/1706.05137, in which it turns out that throwing all the architectural elements from all kinds of deep learning into a single model ends up working pretty well. Adding the recursive elements used to parse the linear sequences of elements in languages never hurts and mostly improves the performance of image classifiers and object recognizers. Go figure.
Found from https://venturebeat.com/2017/06/19/google-advances-ai-with- one-model-to-learn-them-all/amp/ -- rec --
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