Phenomena and Processes

Generative Adversarial Networks

An unsupervised learning network which is composed of two separate networks, a generator which produces content and a discriminator which works to identify real content from the generated content. Over time, generative adversarial networks create data that increasingly resembles the input data.

National Library of MedicineMedical Subject Headings2026

Structured Summary

Abstract

An unsupervised learning network which is composed of two separate networks, a generator which produces content and a discriminator which works to identify real content from the generated content. Over time, generative adversarial networks create data that increasingly resembles the input data.

MeSH Record

Classification

Broader headings

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MeSH Record

Synonyms

3 entry terms
  • Adversarial Network, Generative
  • Generative Adversarial Network
  • Network, Generative Adversarial

MeSH Record

History Note

2025

MeSH Record

Previous Indexing

  • Algorithms (2018-2024)

MeSH Hierarchy

Tree Numbers

  1. G17w.035w.250w.500w.750w.501w
  2. G17w.035w.672w.557w
  3. L01w.224w.050w.375w.530w.750w.501w
  4. L01w.224w.050w.726w.630w

AMA Style

References

  1. National Library of Medicine. Generative Adversarial Networks. Medical Subject Headings (MeSH). 2026. Unique ID D000098427. http://id.nlm.nih.gov/mesh/2026/D000098427
  2. Generative Adversarial Networks. In: Wikipedia. https://en.wikipedia.org/wiki/Generative_adversarial_network
  3. Generative Adversarial Networks. In: Wikidata. https://www.wikidata.org/wiki/Q25104379