2 docs tagged with "Generative Models"

In this post, we'll explore Generative Adversarial Networks (GAN), a powerful class of neural networks used for generating new data based on learned distributions.

Generative Adversarial Networks (GANs) are a deep learning model that generate new data samples by training two neural networks in opposition. They are widely used in tasks such as image generation, style transfer, and data augmentation.