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Morshed
Morshed
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I have seen that validation loss is used for avoiding overfitting of the training set and cross-validation is used for generalized the models' results.

DoAre they are useduse for similar purposes or results? If not, then how can I use both validation loss and cross-validation combined on CNN?

I have seen that validation loss is used for avoiding overfitting of the training set and cross-validation is used for generalized the models' results.

Do they are used for similar purposes or results? If not, then how can I use both validation loss and cross-validation on CNN?

I have seen that validation loss is used for avoiding overfitting of the training set and cross-validation is used for generalized the models' results.

Are they use for similar purposes or results? If not, then how can I use both validation loss and cross-validation combined on CNN?

Source Link
Morshed
Morshed
  • 1
  • 1

Can we use both validation loss and cross validation at the on CNN?

I have seen that validation loss is used for avoiding overfitting of the training set and cross-validation is used for generalized the models' results.

Do they are used for similar purposes or results? If not, then how can I use both validation loss and cross-validation on CNN?