5. Which of the following statement is INCORRECT?
(A) The basic objective of auto-encoder is to reproduce its inputs by using a smaller set of features.
(B) In generative adversarial network (GAN), the discriminator often has access to both the synthetic and real sample. Itstask is to try to differentiate them as accurate as possible.
(C) Training recurrent neural networks (RNNs) is much easier than training convolution neural networks (CNNs).
(D) In GAN, the generator has to provide information to the discriminator so that the discriminator can try to do a betterjob for classifying real and fake samples.
(E) For CNNs, the convolution is essentially a filtering operation.