Schematic diagram representing the network architecture. This entire architecture represents the “Network Under Training” as shown in Figure 1. The network consists of two main components: a discriminator and a generator. The generator creates synthetic images from random noise, while the discriminator evaluates their authenticity against real images, facilitating the training process to improve image quality and diversity.