During training, what does the generator use to improve itself?Feedback from the userFeedback from both the user and the discriminatorCIFAR-10 datasetFeedback from the discriminatorReal images

Which of the following is NOT a feedback given to the generator during training?This is a genuine imageThis image looks like a carThis image looks blurryThis is a fake imageThis image is pixelated

In Conditional GANs (cGANs), what additional information is provided to both the generator and discriminator during training?Question 20Answera. Image gradientsb.Noise vectorc.Latent space vectorsd.Class labels

In the provided code, why is discriminator.trainable set to False when setting up the combined system?To prevent overfittingTo make sure only the generator is trained in this stepNone of the given optionsTo increase discriminator's accuracyTo speed up training

Which of the following best describes the role of the generator in a GAN?To critique imagesTo produce imagesNone of the given optionsTo combine imagesTo evaluate the loss

In the formulation of Generative Adversarial Networks (GANs), which term represents the objective of the generator to match the distribution of generated samples to that of real data?Question 8Answera.Generator lossb.Adversarial lossc. Reconstruction lossd.Discriminator loss