In GANs, what is the significance of the Nash Equilibrium?

  • It's a point where both the generator and discriminator are optimal.
  • It's a theoretical concept without practical relevance.
  • It's the point where only the generator is optimal.
  • It's the point where only the discriminator is optimal.
The Nash Equilibrium in GANs is when both the generator and discriminator reach an optimal state. It signifies stability in GAN training.
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