A company is building an application that needs to generate synthetic data that is based on existing data. Which type of model can the company use to meet this requirement?
100% A - GANs are specifically designed to generate synthetic data that closely resembles real data. This aligns perfectly with the company's requirement.
A. Generative adversarial network (GAN)
Correct answer. GANs are a type of model specifically designed for generating synthetic data. They consist of two neural networks—a generator and a discriminator—that work together to produce data that mimics the patterns of the original dataset.
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