The GAN Generator: Core Component of GANs
Explore the GAN generator, its architecture, principles, optimization, and their role in shaping Generative Adversarial Networks.
Explore the GAN generator, its architecture, principles, optimization, and their role in shaping Generative Adversarial Networks.
Learn how to create a deep convolutional generative adversarial network (DCGAN) using Keras and Tensorflow libraries.
Generative Adversarial Networks (GANs) generate data that mimics a given dataset in a min-max game between a generator and discriminator.