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Maybe on a theoretical level, but of course you will agree that what we mean by deep learning today has only become possible with the availability of sufficient computational power (and Hinton's work around the mid-2000's).


There are lots of important moments I guess, I would credit the main break in practicality to the ~1990 Swiss/German stuff: https://people.idsia.ch/~juergen/deep-learning-miraculous-ye...

But still even the early perceptrons stuff was applied research, I wouldn't call it purely theoretical by any means.


I agree about your notion of there being lots of important moments in history, and Schmidhuber's contributions are not small by any means. Yet, 1990 was not the year when Deep Learning took off.




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