Generative AI · Level 3 of 5
GAN (GAN)
A generative framework where a generator competes with a discriminator.
The two training objectives interact and can be unstable.
Example
One network synthesizes images while another distinguishes generated from real images.
Listen to the definition and example
Audio transcript
GAN. A generative framework where a generator competes with a discriminator. The two training objectives interact and can be unstable. For example: One network synthesizes images while another distinguishes generated from real images.
Explore this concept
Why it matters
This helps you reason about how content is generated and which limitations to check.
Start with
Quick recall question
Try answering before looking back at the definition.