Question 20
Which of the following statements is false?
Reparametrization trick is used in training VAEs to overcome the problem of non-differentiability of the objective function across a sampling step.
In denoising autoencoder, reconstructed output is compared against noise- free ground truth data point.
While training a GAN, Generator and Discriminator weights are not updated concurrently but updated sequentially.
When a GAN is completely trained, Discriminator D outputs very high probability (approximately 1) for images from Generator G, that is, D(G(z)) ≈ 1