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Hi! In Unsupervised-TU, such as logistic regression classifier, there are two parts, test and val, annotated in the ten fold cross verification section. But in my opinion, these two parts are trained separately on two fully connected layer models using the same training set and test set. Am I understanding this correctly? What is the purpose of this? Does it have any special meaning?
Thanks!
The text was updated successfully, but these errors were encountered:
Hi! In Unsupervised-TU, such as logistic regression classifier, there are two parts, test and val, annotated in the ten fold cross verification section. But in my opinion, these two parts are trained separately on two fully connected layer models using the same training set and test set. Am I understanding this correctly? What is the purpose of this? Does it have any special meaning?
Thanks!
The text was updated successfully, but these errors were encountered: