Generative Adversarial Networks Projects

Maturation of the GAN training process

After four years since its inception in 2014, GANs still suffer from training instability problems. Sometimes, the GAN doesn't converge at all, as both networks diverge from their training paths. While writing this book, I suffered from this problem many times. Many efforts have been made by researchers to stabilize the training of the GANs. I predict that this process will mature with the advancements in the field of deep learning, and we will soon be able to train models without any problems.