A Generative Adversarial Network (GAN) is a type of machine learning model that consists of two neural networks: a generator and a discriminator. These networks work in opposition to creating and evaluating data. The generator produces data samples (e.g., images, text, or audio), while the discriminator evaluates these samples against real-world data to determine authenticity. Over time, the generator improves its ability to create realistic outputs, making GANs highly effective for tasks like image synthesis, deepfake creation, and style transfer.
https://www.debutinfotech....
#Generative_Adversarial_Network
#What_is_a_Generative_Adversarial_Network
#Generative_AI_Integration_Services
#Generative_AI_development_company