30. For a Generative Adversarial Network (GAN) that can produce images of cars, which of thefollowing statements is TRUE?
(1) The generator aims to learn the distribution of car images.
(2) After training the GAN, the discriminator loss eventually reaches a constant value.
(3) The generator can produce unseen images of cars.
 (4) The discriminator can be used to classify images as car vs. non-car.
(A) (1) and (2)
(B) (2) and (3)
(C) (1), (2) and (3)
(D) (2), (3) and (4)
(E) (1), (2), (3) and (4)