👉 In machine learning and artificial intelligence, a discriminator is an important component of a neural network. The purpose of a discriminator is to separate real images from fake ones by identifying which are real and which are generated based on the input image's characteristics (e.g., color, size, etc.). It helps in creating a robust model that can accurately classify both real and synthetic data. The term "recriminator" comes from the fact that it is responsible for making a decision about whether an image is genuine or