What does GAN stand for?

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Multiple Choice

What does GAN stand for?

Explanation:
In machine learning, GAN stands for Generative Adversarial Network. It’s a setup with two neural networks that play a game: a generator creates synthetic data, and a discriminator tries to tell real data from the generated data. They train together, with the generator improving to produce more realistic outputs while the discriminator gets better at spotting fakes. This tug-of-war pushes the generator to generate highly plausible data, which is why GANs are popular for generating images, videos, music, and for data augmentation. The option choices listed aren’t the standard meaning in this field; the recognized expansion is Generative Adversarial Network.

In machine learning, GAN stands for Generative Adversarial Network. It’s a setup with two neural networks that play a game: a generator creates synthetic data, and a discriminator tries to tell real data from the generated data. They train together, with the generator improving to produce more realistic outputs while the discriminator gets better at spotting fakes. This tug-of-war pushes the generator to generate highly plausible data, which is why GANs are popular for generating images, videos, music, and for data augmentation. The option choices listed aren’t the standard meaning in this field; the recognized expansion is Generative Adversarial Network.

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