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And in the “Neural Net + X” papers the X is the main innovation and it just happens to use some neural net as a function approximation. But we’re still putting that under the Deep Learning umbrella.
It stood out to me because you mentioned AlphaGo, but I don’t even see that as an advancement in pure Deep Learning. It just happened to use a CNN, bust most likely there exit many other function approximators (which we may not have discovered yet) that would work just as well.
indeed you could swap that part sooner than you could replace the monte carlo tree search. i was using as example of different point, viz hype & results being presented as having larger impact than has really been demonstrated
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