What is the primary objective of the discriminator in a GAN during training?

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BlackTom AI · Accepted Answer

The question asks about the primary objective of the discriminator in a GAN during training.
Option 1: 'To minimize the probability of real data being real.' This would imply the discriminator is attempting to misclassify real data as fake, which is the opposite of its role. In training, we want the discriminator to recognize real samples as real, not to discount them.
Option 2: 'To maximize the probability of real data being real and minimize the probability of fake data being real.' This aligns with the standard GAN objective. The discriminator should assign high probability to real samples being real and low probability to fake samples produced by the generator, effectively distinguishing real from generated data.
Option 3: 'To generate data samples that resemble the training data.' This describes the generator's role, not the discriminator’s. The discriminator evaluates samples; it does not create data samples that resemble the training set.
Explanation across options highlights the core distinction: the discriminator's job is classification between real and fake, not data generation or misclassification of real data.

Learning AI Through Visualization 4 Module 6 Quiz

What is the primary objective of the discriminator in a GAN during training?

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