asjad18

Why same optimizer is being used to optimize both generators in cycle GAN ?

1

optimizer_G = torch.optim.Adam( itertools.chain(G_AB.parameters(), G_BA.parameters()), lr=opt.lr, betas=(opt.b1, opt.b2) ) I am unable to understand this. Why shouldn't we use different optimizer for both generators ?

StopIteration: generator_output = next(output_generator)

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Hi, I have followed this tutorial step by step for skin segmentation task, but when I execute model.train() , I get the error mentioned in title. I am using tensorflow...