Dear ptrblck:
Thank you so much for your kind answer!!!
Now I understand the validation process much better
May I ask you one more question? Actually it may be the same question again.
(Sorry if it is the same question…)
Actually, what I wanted to do is as follow:
I separate input data into two parts, training set and test set.
And for each epoch, I randomly jumble training set and separate it into two parts,
and I train the model using the first part and, after that, evaluate the model using the second part by calculating validation loss with this second part and trace when it has the minimum validation loss
and when finishing epochs, get the model parameter at that epoch having lowest validation loss.
Why I wanted to do this is, because I randomly jumble training set and select newly created validation set inside the training set each epoch and hope it may make sense theoretically…
So, should I not do this???
Have a nice day…