The task of GAN is to generate features $X$ from some noise $\xi$ and class labels $Y$, $$\xi, Y \to …
The essence of [[GAN]] GAN The task of GAN is to generate features $X$ from some noise $\xi$ and …
In GAN, the latent space input is usually random noise, e.g., Gaussian noise. The objective of …
Adversarial models use a generator and discriminator