What are Prism Generative Adversarial Networks?

What are Prism Generative Adversarial Networks?

Prism Generative Adversarial Networks (Prism GANs) are a type of AI model that generates new data by learning from existing datasets.

How do they differ from traditional GANs?

Prism GANs enhance the traditional GAN framework by incorporating additional layers or mechanisms that improve data diversity and quality.

Can you give me an example of their application?

Sure! Prism GANs can be used in image synthesis, where they generate high-quality images based on specific styles or features.

What are the challenges in training Prism GANs?

Some challenges include mode collapse, where the model generates limited variations, and the need for extensive computational resources.