Which of the following is FALSE about training GANs? Group of answer choices The root cause of the difficulties of training GANs is because of multiple Nash equilibriums so that GANs cannot converge to the optimal one. Increasing epochs usually won't help GANs to generate more realistic data The training process is unstable because the generator and the discriminator are constantly pushing against each other. Once the GAN becomes somewhat good at one category, it gradually switches to another category. It never becomes really good at any of them