A question for cross-validation.
Firstly, we divide all the data into training samples and test samples, such as the proportion of 80% and 20%.
Then, we divide the training samples into five groups, four of which used as train data (64%) and one group used as validate data (16%). The 5-fold cross-validation can be carried out to find the suitable parameters of the CNN.
So after the 5-fold cross validation, what should we do next for the testing samples? Should we use the parameters of CNN that determined in the cross validation stage, to train the network again on the 80% samples, and test on the 20% samples?
I am a little confused. Thank you.