Timeline for Is epoch optimization in CV with constant mini-batch size even possible?
Current License: CC BY-SA 3.0
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| Mar 26, 2018 at 7:18 | comment | added | Hoizmichl | After successfully building my NN with suggestions in the links you posted, I read into the topic k-fold cross validation again. Many posts on the internet recommend optimizing epoch numbers on NN with k-fold CV and different sizes of dataset. It seems many people get confused with that technique. As I see it a possible solution would be to stop training of the net if the train accuracy in each CV loop stops increasing significantly. Overfit would have to be handled solely by parameter optimization then. This is only an idea though and computational expensive. | |
| Mar 16, 2018 at 9:36 | vote | accept | Hoizmichl | ||
| Mar 15, 2018 at 14:09 | history | answered | Jan Kukacka | CC BY-SA 3.0 |