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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?

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