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How the weights of different loss functions affect performance of the network in GAN based SISR? #245
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Total perceptual loss in SRGAN paper is weighted sum of content loss and adversarial loss.
Total loss = Content loss + (10^(-3)) Adversarial loss Please tell why 10^(-3) is used? what is its impact on performance if some other value is used ?? or does it affects number of iterations for training of network ?
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hanjr92 commentedon Jul 5, 2022
sorry too late to reply you. In paper, we can find the total loss = content loss + (10^(-3)) Adversarial loss. @KhushbooChauddhary . I think this value is a hyperparameter related to the dataset. You need to debug on different datasets.