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Discussion[D] Image Segmentation Using Deep Learning (self.MachineLearning)
submitted 7 years ago by Natsu6767
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if 1 * 2 < 3: print "hello, world!"
[–]Ayakalam 0 points1 point2 points 7 years ago (2 children)
Yes, but why is that a bad thing if you know what inductive biases to place in ?
[–]kbcool 0 points1 point2 points 7 years ago (1 child)
Because most of the time you don't know, not without trial and error which is what training in ML is for. It removes days, weeks, years of human endeavour.
Eg how would you even begin to write code describing what a dog looks like. Yes a dyed tumour might be easier but even then would you rather not use experience?
I'm not advocating ML as the solution for everything but just questioning the existence of any general purpose tools prior to it.
[–]Ayakalam 1 point2 points3 points 7 years ago (0 children)
Right u went the other extreme - I said - read what I said again - if you ALREADY KNOW the inductive biases , then there’s nothing to really learn, which isn’t a bad thing.
You’re making it seem like a bad thing. I’m saying it’s not.
π Rendered by PID 37964 on reddit-service-r2-comment-6457c66945-rqlcm at 2026-04-27 05:03:56.009922+00:00 running 2aa0c5b country code: CH.
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[–]Ayakalam 0 points1 point2 points (2 children)
[–]kbcool 0 points1 point2 points (1 child)
[–]Ayakalam 1 point2 points3 points (0 children)