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Re:“Deep Learning has outlived its usefulness as a buzz-phrase” by sitkack on Saturday January 06, 2018 @02:36AM (#16084305)
NN are _just_ transfer functions. Look up tables. Or really dense maps. So f(g(x)) make total sense. But I dont think these are the interesting combinations. I think giving one NN the training experience of another, plus the feedback on "correct inference" will be when on NN trains its replacement.
Re:“Deep Learning has outlived its usefulness as a buzz-phrase” by cs702 on Saturday January 06, 2018 @01:34PM (#16086711)
Yes, of course. f(g(x)) was the simplest possible example I could come up with to illustrate the point :-)