I agree in some sense but I also think that everybody has the right to learn at any level, mainly because not everything in neural networks field is research to

I agree in some sense but I also think that everybody has the right to learn at any level, mainly because not everything in neural networks field is research to create the next optimizer or a new architecture. This is perfect for the people I work with and the role we have (and I am talking about some of them are PhDs in math and physics but without much CS knowledge). Some of this people just need to see this is a stack of non linear functions that have to be minimized and they grasp the idea of nn really fast. To me this would be like saying that if you don't know computational complexity theory or how compilers work you are not a good software developer, but I think is just a different level and as long as you don't try to inflate your resume is fine. Sometimes I feel some fear on AI field when the knowledge is spread, and there is a bunch of backgrounds (maths, physics, quantitative finance, chemistry, ...) that need exactly this to at list demistify nn.