I am trying to implement conditional GAN using GAN-CLS loss as described in paper: https://arxiv.org/abs/1605.05396

So, while training discriminator, I should I have three batches of data:

  1. [Real_Image, Embeddings]
  2. [Generated_Image, Embeddings]
  3. [Wrong_Image,Embeddings]

And, while training generator, I should have one batch of data i.e [Generated_Image, Embeddings].

Is this correct way to train the model?


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.