Computer Science · Generative Adversarial Networks
What core mechanism do Generative Adversarial Networks (GANs) utilize to create highly realistic synthetic media such as deepfakes?
- 1They pit a media-creating generator against a realism-judging discriminator in a continuous loop.✓
- 2They rely on reinforcement and imitation learning algorithms to autonomously generalize unstructured data.
- 3They utilize brain-inspired, low-latency sensory processing implemented directly onto synthetic mechanisms.
- 4They fuse multi-layered computational graphs to interpret human language and analyze forensic artifacts.
Correct answer
They pit a media-creating generator against a realism-judging discriminator in a continuous loop.
Download Single Question PDF
Save this question and verified answer as a clean study sheet with live clickable link.
Share with Friends & Study Groups
Challenge your peer aspirants on WhatsApp or Telegram to solve this question!
Preparing for Computer Science?
Practice full-length mock tests with real exam timers, instant score analysis, and all-India ranking.
Want more practice questions on Generative Adversarial Networks?
Solve complete topic-wise tests with detailed solutions on GkGet.
Related Practice Questions
Recommended practice questions in Computer Science · Generative Adversarial Networks