Increrasing the validation accuracy
1 visualizzazione (ultimi 30 giorni)
Mostra commenti meno recenti
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.
0 Commenti
Risposte (1)
Joss Knight
il 5 Gen 2022
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?
0 Commenti
Vedere anche
Categorie
Scopri di più su Recognition, Object Detection, and Semantic Segmentation in Help Center e File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!