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Nov 6, 2021 at 17:00 comment added nbro Ok, can you please edit your post to clarify that?
Nov 6, 2021 at 16:08 vote accept Robo
Nov 6, 2021 at 16:05 comment added Robo I meant that, I heard that in stochastic gradient descent, if the cost function is not actually at the global optimum but is somewhere close by, it won't matter a lot because you still get almost similar results.
Nov 3, 2021 at 12:17 comment added nbro I don't understand this sentence "I know that a model with a cost function that's a bit away from the lowest value for the cost function performs well in stochastic gradient descent". What do you mean by "a model with a cost function that's a bit away from the lowest value for the cost function". There's probably a typo there, which you should fix.
Nov 3, 2021 at 12:16 history edited nbro CC BY-SA 4.0
added 1 character in body; edited tags; edited title
Nov 3, 2021 at 10:03 answer added spiridon_the_sun_rotator timeline score: 2
S Nov 3, 2021 at 7:41 review First questions
Nov 4, 2021 at 5:34
S Nov 3, 2021 at 7:41 history asked Robo CC BY-SA 4.0