Although TensorFlow/Keras allows anyone to implement Deep Learning easily, that doesn't mean that they will get hired for a relevant job position without a PhD. Most Deep Learning jobs, and even relatively mundane Data Scientist jobs nowadays, want a PhD from my experience. There is a surplus of Statistics/CS PhDs, why would a company hire someone without one if they do not have to?
Without a relevant job position, knowing how to implement Deep Learning is a buzzword trick for Medium thought pieces or getting $$ in funding from venture capitalists for a generic "AI" startup that no one actually understands how it works.
Without a relevant job position, knowing how to implement Deep Learning is a buzzword trick for Medium thought pieces or getting $$ in funding from venture capitalists for a generic "AI" startup that no one actually understands how it works.