I am training a GAN using data that underwent PCA. When I scale the data between -1 and 1, no matter when I use 'tanh' or 'sigmoid' at the last layer of the generator, the network is not stable. However when I scale between 0 and 1, training gets stable only while using tanh activation function but not sigmoid. Does anyone have any idea what might be the reason?


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