28. Which of the following can be used in both error detections and error corrections in digital communications? (A) Hamming codes (B) Parity check (C) Checksum (D) Cyclic redundancy check (E) Manchester code

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. Its task 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 better job for classifying real and fake samples. (E) For CNNs, the convolution is essentially a filtering operation.

28. Which of the following can be used in both error detections and error corrections in digital communications?
(A) Hamming codes
(B) Parity check
(C) Checksum
(D) Cyclic redundancy check
(E) Manchester code

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