Please I'm wondering if you could achieve the same results as shown in the paper after training the model?
Because after I trained the model using this code the performance seems far less than the performance showed in the paper.
I have attached two figures that show the generator's loss function and the discriminator's loss function. You can see that the generator's loss function does not converge to 0. And the discriminator's loss function is increasing to 0. I'm confused how to interpret this training behaviour.
Hi,
Please I'm wondering if you could achieve the same results as shown in the paper after training the model? Because after I trained the model using this code the performance seems far less than the performance showed in the paper. I have attached two figures that show the generator's loss function and the discriminator's loss function. You can see that the generator's loss function does not converge to 0. And the discriminator's loss function is increasing to 0. I'm confused how to interpret this training behaviour.
Best, Sami