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spatial-image-steganography-based-on-generative-adversarial-network's Issues

details of implementaion

Hi, I have some question about your implementation.
Recording to the paper, we have a Xu model as the discriminator. That it has only one HPF kernel. But in your code, discriminator has 10 kernels. Is it better? why? Did you test it separately? If you did, would you please say what result did you get?
And another thing is activation functions. In the Xu model, we have TanH in the first and second groups and Relu for the other groups. But you used TanH for all groups. Can you please explain why did you do this?
And for my last request, can I have your final weights of this gan model? I haven't good hardware to train this model!
thanks

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