I am running the same code I downloaded from the GitHub repository and I am using google colab notebook. During GAN training discriminator loss is reducing and generator loss is increasing. The images generated are not meaningful. Please help to solve this issue.
I wanted to use a custom multiclass dataset with many minority classes and want to perform augmentation for all minority classes. Please help.
I am running the same code I downloaded from the GitHub repository and I am using google colab notebook. During GAN training discriminator loss is reducing and generator loss is increasing. The images generated are not meaningful. Please help to solve this issue.
I wanted to use a custom multiclass dataset with many minority classes and want to perform augmentation for all minority classes. Please help.