How to Quickly Implement Generative Adversarial Networks Using TFGAN
Editor｜Debra AI Frontline Introduction: Generative Adversarial Networks (GANs) are currently widely used in various scenarios such as image generation, super-resolution image generation, image compression, image style transfer, data augmentation, and text generation. More and more researchers are engaged in the study of GAN networks, proposing various variants of GAN models, including CGAN, InfoGAN, WGAN, CycleGAN, … Read more