Paper Vaibhaolaxmi Publication Journal • April 07, 2026

Generative Adversarial Nets

Author Clustor

University of Toronto

Abstract

This paper introduces Generative Adversarial Networks (GANs), where two neural networks compete: a generator creates synthetic data while a discriminator evaluates it. The framework enables realistic data generation including images and videos.

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Article Details

DOI: 10.1234/vaibhavlaxmi.QCJL85
Published: Apr 07, 2026
Category: GAN, Deep Learning, …
License: CC BY 4.0

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