Sure makes sense. There are multiple layers to deep learning: The math and proofs. The algorithms. The software tools/frameworks Building NNs with those tool

Sure makes sense. There are multiple layers to deep learning: The math and proofs. The algorithms. The software tools/frameworks Building NNs with those tools. All of those have different levels of conceptualization and utility. As some extreme examples: Anyone can build an iPhone image classifier drag and drop today. That’s one level. Developing an alternate to backprop is another level.