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File: bd7.jpg (150 KB, 680x999)
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how do I defeat overfitting?
>>
you sure do seem to like talking about yourself on social media
>>
>>16296549
>I don't have social media
Next question
>>
>>16296548
You get more data points or reduce the degree of your polynomial
/thread
>>
>>16296558
more data points > different overfitting
less polynomial degree > sneaky overfitting
>>
>>16296548
noise injection
>>
>>16296555
>Posting to social media claims about how you don't have access to social media.
You aren't a very bright one are you?
>>
>>16296548
learn to love it. add some kick-ass regularization term (L2 is preferable, it acts toward minimizing the Dirichlet energy of the solution), and go wild.
>>
>>16296548
by collecting more data.
>>
>>16297067
That's not a social media, Herbert
>>
larger data sample or just underfit bro its easy
>>
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>>16298058
>>
Ask another AI for help training your AI
>>
>>16298071
akchually
https://en.wikipedia.org/wiki/Competitive_learning



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