CNN Training progress plots - Validation accuracy Jumps at last iteration
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Dear collegues,
I'm training a CNN on MATLAB and I noticed what you can see in the figure below. As shown in the training progress plots, the validation accruacy jumps at the very last iteration regardless of what's the number of Epoches used in the traning. It is confusing. What could be the reason for that?
Thank you.
#Epoches = 5
#Epoches = 10
Another trail with #Epoches = 10
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Kenta
il 16 Lug 2020
If your network includes batch normalization layer, the final accuracy and the one during the training process sometimes differ. The reason why it happens is written in detail above. Hope it helps!
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