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Well, indeed. One then needs to explain how a NN being a "universal fn approximator" helps at all in this context. One models RVs generativey using distributi
by mjburgess 5y ago
Well, indeed.
One then needs to explain how a NN being a "universal fn approximator" helps at all in this context.
One models RVs generativey using distributions (and so on), the actual model (eg., of house prices) isnt a function, it's often an infinity of them.
- thfuran 5y ago>One then needs to explain how a NN being a "universal fn approximator" helps at all in this context. Given that I can't tell why you don't think it does, I don't think I can explain it to you. From the other contexts you've talked about here, you seem to be implying that the only thing that is potentially useful is an AGI which either carries out or merely designs experiments. But that's patently absurd.
- mjburgess 5y agoI'm happy to hear the very narrow case on this. Can a NN learn geometric Brownian motion?