Programming, Technology, Data Science, Machine Learning, Artificial Intelligence.
Networks (GANs) are a class of machine learning models that consist of two neural networks: a generator and a discriminator. The generator network learns to generate synthetic data samples that resemble the real data, while the discriminator network learns to distinguish between real and fake data