What Are Generative Adversarial Networks Used For?

What Are Generative Adversarial Networks Used For? Generative adversarial networks (GANs) are algorithmic architectures that use two neural networks, pitting one against the other (thus the “adversarial”) in order to generate new, synthetic instances of data that can pass for real data. They are used widely in image generation, video generation and voice generation. Where

What Are GANs Good For?

What Are GANs Good For? Over a few years, applications of the Generative Adversarial Networks (GANs) have seen astounding growth. The technique has been successfully used for high-fidelity natural image synthesis, data augmentation tasks, improving image compressions, and more. What is the point GANs? GANs are an exciting and rapidly changing field, delivering on the