Data Science, Machine Learning, Deep Learning, Artificial Intelligence, Computer Vision.
any other type of data that the GAN aims to generate. Iterative Training: The training process of GANs involves alternating between two main steps: the generator step and the discriminator step. Generator Step: The generator takes a batch of random noise as input and generates a batch of fake