deep learning - How discriminator determine whice one is real image and whice one is fake?

Question

How we train the discriminator actually? It wants 0 and we pass both real and fake images together, the real image will closer to 1 so the loss will high. So does it mean high error means real image and low error means a fake image? That's how the discriminator determines fake or real images?

question from:https://stackoverflow.com/questions/65546699/how-discriminator-determine-whice-one-is-real-image-and-whice-one-is-fake

Answer 1

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