Can anyone comment on this model learning,
Is it overfitting, I am already using BN, Dropout.
Or should I simply reduce my epochs to approx 50, is it fine.
Actually, I want to know what else I can do to improve the performance.
Regards
Yes, a perfect training accuracy and a gap to the validation accuracy would indicate overfitting.
Generally you could increase the regularization through dropout, a smaller model, more aggressive data augmentation etc., but as always it depends on your use case what would work best.
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What is meant by regressive augmentation, is it allowed in research paper writing? Do people mention it either. Actually during my studies I found results mismatched with mine from so many paper , are they using augmentation?
I am using this for audio classification.
Can I train the model after 40 epochs coz after that nothing is changed much sir?