Data Science, Machine Learning, Deep Learning, Artificial Intelligence, Computer Vision.
generator learning to generate realistic data samples, and the discriminator learning to differentiate between real and fake samples. Architecture Generator: The generator takes random input, often called a latent vector or noise, and maps it to the data space. It transforms the random input into a