Closed YusukeO closed 5 years ago
Nope. It means that we condition our classifier on both a data-point X, and a one-hot vector that indicates whether X came from the real or fake distribution. This way the classifier can create separate boundaries for each type of data-point.
Thank you for quick reply! Now everything is clear!
Hi Antoniou !
I cannot understand the following statement in your paper.
It means that adding one extra class "fake" to final layer of CNN?
Thank you!