Generative Adversarial Networks are a type of Machine Learning model that consists of two neural networks: a generator and a discriminator. GANs are used to generate synthetic data that resembles real data by learning from training examples. They find applications in image generation, video synthesis, and data augmentation.
Virtual Reality (VR) allows users to experience and interact with artificial, computer-generated environments. By immersing users in virtual worlds, businesses can create engaging and…