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> These were not AIs but rule-based systems with if elses. What is fashionable to call AI these days are ultimately rule-based systems with if elses. It just s
by telmo 3y ago
> These were not AIs but rule-based systems with if elses.
What is fashionable to call AI these days are ultimately rule-based systems with if elses. It just so happens that it's a bazillion of those, and they are created by gradient descent.
- mort96 3y agoAnd that they're not if-elses but nonlinear functions.
- telmo 3y agoYou mean functions such as: if x > 0: return x else: return 0 ?
- Matumio 3y agoThat's RELU, which clearly belongs to the realm of AI. Dangerous stuff.
- telmo 3y agoIt's almost like a chose the example on purpose ;)
- mort96 3y agoThat's one example of a nonlinear function, yes. You also have (eˣ)/(1+eˣ), or (e²ˣ-1)/(e²ˣ+1), or a host of others which don't contain anything if-like at all.
- telmo 3y agoMy somewhat snarky point was that there is no magic distinction such as: > These were not AIs but rule-based systems with if elses. I believe I already made my point with the ReLU example, if you don't want to concede it that is also ok.
- mort96 3y agoI don’t know what point you’re trying to make. Neural nets are fundamentally different from rule-based systems. The fact that one of the non-linear functions which is sometimes used in neural nets can be implemented using an if statement seems utterly irrelevant.