What are the two networks that make up a GAN?

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BlackTom AI · Accepted Answer

The question asks: What are the two networks that make up a GAN? 
Option 1: Encoder and decoder. This pairing is characteristic of autoencoders or variational autoencoders, where the encoder maps input data to a latent space and the decoder reconstructs data from that latent representation. It is not the standard terminology used for GANs, so this option is incorrect.
Option 2: Generator and discriminator. This is the canonical pairing in a Generative Adversarial Network, where the generator creates fake data and the discriminator attempts to distinguish fake data from real data. This accurately reflects GAN architecture, so this option is correct.
Option 3: Classifier and regressor. While these terms describe model heads used for supervised learning tasks (classification or regression), they do not define the two networks that compose a GAN. GANs do not rely on a classifier/regressor pair as their core structure, making this option incorrect.

Learning AI Through Visualization 4 Module 6 Quiz

What are the two networks that make up a GAN?

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