Маракулин А.П. -Нейронные сети в научных исследованиях -12.Генеративно-состязательные нейронные сети

In this lecture, the speaker introduces generative adversarial networks (GANs) at 0:00:17, discusses latent space at 0:02:26, provides an example at 0:18:35, shows image generation at 0:36:41, explains the deconvolution layer at 0:39:47, presents another example at 0:46:48, covers conditional GANs at 0:53:50, explores GAN diversity at 0:58:32, and concludes with training nuances at 1:07:14.