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...
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...