Advantages and disadvantages of generative adversarial networks (GAN) - IT Release

GAN is an architecture in which two opposite networks compete with each other to generate desired data. The output of GAN include images, animation video, text, etc. The neural or opposite networks are named generative network and discriminator network. The generative network is provided with raw data to produce fake data. The fake data is then provided to the discriminator network. Real data and fake data (output from […]

Generative Adversarial Networks (GANs): A Complete Guide

Guide to Generative Adversarial Networks (GANs) in 2024

Generic image application using GANs (Generative Adversarial

Generative Adversarial Networks - Anupinder Singh

Generative artificial intelligence and its applications in

Mathematics, Free Full-Text

Information, Free Full-Text

Lubricants, Free Full-Text

PDF] Connecting Generative Adversarial Networks and Actor-Critic

Generative adversarial networks (GAN) based efficient sampling of

Applied Sciences, Free Full-Text

PDF] Generative Adversarial Networks (GANs)

Electronics, Free Full-Text

PDF] Recent Advances of Generative Adversarial Networks in

Generative Adversarial Networks (GANs)