Re:The Principles of Deep Learning Theory
by MathYouF on Saturday April 16, 2022 @05:56PM
(#31056449)
Could you give a simple example of proof that real world since real world intelligence is much more than symbol shuffling? I'm a bit unfamiliar with the idea.
Re:The Principles of Deep Learning Theory
by goodtraveler on Saturday April 16, 2022 @06:00PM
(#31056473)
I don't appreciate the sarcasm. If you're confused then say so, save the snark for someone else. If you're asking a sincere question then you can go outside and watch a few animals navigate the world. Squirrels are a good one, as are crows and ravens. Or as the kids say these days, you should touch some real grass instead of virtual ones.
Re:The Principles of Deep Learning Theory
by MathYouF on Saturday April 16, 2022 @06:50PM
(#31056801)
It was a genuine question, I've not heard an intuitive or simple explanation of the concept. Your assumed combative tone is very reminiscent of others I've heard bring up the concept though (like Gary Marcus). I still haven't been able to hear a good and simple explanation though from your cohort despite my genuine curiosity.
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Re:The Principles of Deep Learning Theory
by MathYouF on Saturday April 16, 2022 @09:10PM
(#31057538)
You're the first to confuse it for sarcasm on this forum. Your tone seems to be presumptuous and uncordial (possibly a learned memetic behaviour from others with similar opinions when asked to elaborate with simple explanations of their view), so I'll take the hint and stop replying.
If you think that Cauchy's integral formula is too complicated then there are probably simpler problems that would also serve as reasonable proxies of symbolic understanding, e.g. elementary group theory and linear algebra.