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When you make the class VGG_LOSS, the function vgg_loss takes two arguments: y_true and y_pred, but when you call this astribute in the line 52 and 55 of train.py, you do not give those arguments. I'm getting an error from this missing arguments, what can I do to solve it?
The text was updated successfully, but these errors were encountered:
i think he is passing an function as an object to keras to use that function as the loss function. Could you show the code you are using and the error?
Please all,
I need the code of implementation this part
the part is
{The SRResNet networks
were trained with a learning rate of 10−4 and 106 update
iterations. We employed the trained MSE-based SRResNet
network as initialization for the generator when training
the actual GAN to avoid undesired local optima.{
When you make the class VGG_LOSS, the function vgg_loss takes two arguments: y_true and y_pred, but when you call this astribute in the line 52 and 55 of train.py, you do not give those arguments. I'm getting an error from this missing arguments, what can I do to solve it?
The text was updated successfully, but these errors were encountered: