$24.$Which GAN implementation is used to translate one image domain to another domain?A Vanilla GANB$)$ Deep Convolutional GAN $($C Laplacian Pyramid GAN $($D CycleGAN$25.$The figure below represents $\_$normalization for convolutional networks. Considering that the figure represents an input X which has a dimension NxCxHxW$.$ Where N is a batch of images, each image has C feature maps with height H and weight W$\mathrm{.}27$ According to the ROC curve and AUC below, which answer is correct in terms of an effective classifier$($A Batch$($B Layer$($C Instance$($D Group$26.$Given the following confusion matrix, the sensitivity equalsPredct as $1$Actual $1$Actual o$20$Predict as o$2970$A~$0\mathrm{.}286$~$0\mathrm{.}8$~$0\mathrm{.}008$D~$0\mathrm{.}91040200403060$A A is the same as B $($B A is less effective than B $($C A is more effective than B $($D None of the aboveQuestions $[46-48]$ are related to this equation. Consider G is the generator and D is the discriminator in a GANnetwork.min max FaMpiaco log Do$.(=)+$ Banpia$)$ log $(1-$ Do$.($Go$.(2))))28.$This GAN objective function wants to the discriminator andthe generator parameters.$($AI minimize, maximize $($B maximize, maximizeC maximize, minimize $($D minimize, minimize$29.$The problem of this obiective function is$($A$)$ GAN gets stuck in the early stages of trainingB if one wins the other losesC the discriminator can not differentiate between the two distributions$($DAll of these$30.$To solve this problem, the objective function of generator has been modified to$($A$)$ Log $(1-$D$($G $($z$\text{'})))$B$)$ Log $(1-$G$($D$($z$)))($C Log$($G$($D$($z$)))$ Log $($D$($G$($z$)))$