Intermediate
Artificial Intelligence & Machine Learning
Q44 / 100
What is a GAN (Generative Adversarial Network)?
Correct! Well done.
Incorrect.
The correct answer is B) A framework with two competing networks: a generator creating fake data and a discriminator distinguishing real from fake, trained adversarially
B
Correct Answer
A framework with two competing networks: a generator creating fake data and a discriminator distinguishing real from fake, trained adversarially
Explanation
GAN (Goodfellow 2014): generator G maximizes discriminator D's error; D minimizes it. At equilibrium, G generates realistic data. Used for image synthesis (StyleGAN), image-to-image translation (pix2pix), deepfakes.
Progress
44/100