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Which of the following is common ground between GAN and VAE? (mark all that apply)

Given our objective is to maximize a quantity Z Z defined as:  Z = F(x,y) + G(x,y) + H(x,y) where F, G, H are functions with the following properties: F(x,y) has a closed form solution. G(x,y) has a closed form solution. H(x,y) is intractable. H(x,y)

Reference Figure 1. Early in the training, is the value of D(G(z)) close to 0 or close to 1?

Which of the following is common ground between GAN and VAE? (mark all that apply)

Given random variables x, and y with distributions P(x) and P(y). Let D = KL(P(x) || P(y))       where KL is defined as the KL divergence (Kullback–Leibler Divergence) .   Which of the following statements is FALSE? (mark all that apply)

Given our objective is to maximize a quantity Z Z defined as:  Z = F(x,y) + G(x,y) + H(x,y) where F, G, H are functions with the following properties: F(x,y) has a closed form solution. G(x,y) has a closed form solution. H(x,y) is intractable. H(x,y)

Reference the original problem. Now Suppose H(x,y) >= 0 instead of H(x,y)

Reference Figure 1. Early in the training, is the value of D(G(z)) close to 0 or close to 1?

Given random variables x, and y with distributions P(x) and P(y). Let D = KL(P(x) || P(y))       where KL is defined as the KL divergence (Kullback–Leibler Divergence) .   Which of the following statements is FALSE? (mark all that apply)

Reference Figure 1.   Two cost functions are presented in the figure, which one would you use to train your GAN?