Generator class - An Overview | Python GUI
The Generator class in a GAN (Generative Adversarial Network) creates synthetic data from random noise. It uses a series of neural network layers to transform the noise into realistic outputs, such as images or text. The goal is to generate data that can deceive the discriminator into classifying it as real. For more information, visit PythonGUI.