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This attitude typically isn't about the "best tool for the job", i.e. do I really need DL or are decision trees or some regression sufficient for what I need to achieve? But about the persistent "you don't need DL at all!" stance.

In a way I understand it, for example if somebody finished their computer vision PhD before Deep Learning and don't want to admit their knowledge is now next to useless for most industry cases...



> and don't want to admit their knowledge is now next to useless for most industry cases...

Jokes on both of them: the DL knowledge is also next to useless for most industry cases.




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