Increrasing the validation accuracy

조회 수: 5 (최근 30일)
new_user . 2022년 1월 4일
편집: new_user . 2022년 5월 18일
How to reduce the validation accuracy and in the picture the validation curve reached almost 80 but the best vlaidation loss was choosen (52%), is there any way to use plot the best validation accuracy.

답변 (1개)

Joss Knight
Joss Knight 2022년 1월 5일
There's no way to do this automatically, but in your case just using the default 'OutputNetwork' setting ( last-iteration ) would do it.
I'm not an expert here but it seems to me that the only way for your loss (which is what you are actually trying to minimize) to be rising while your accuracy is improving is if your network's confidence in the chosen output class is getting worse (but it's still choosing the right one). It may be that you don't really want that network therefore. However, the number of images in your validation set may be a factor here. Perhaps you should increase the size of the validation set?


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