Diskriminatorit
Diskriminatorit is a term often encountered in the field of machine learning, particularly within the context of Generative Adversarial Networks (GANs). In a GAN, two neural networks, a generator and a discriminator, are trained in opposition to each other. The generator's role is to create synthetic data, such as images or text, that mimics a real dataset. The discriminator's task is to distinguish between real data from the dataset and fake data produced by the generator.
The discriminator is essentially a classifier. It is trained on a dataset containing both real examples and
The success of a GAN is often measured by how well the generator can produce data that