👉 A discriminator is a machine learning algorithm that can classify data based on its input features. It involves separating out the most relevant features from the rest of the data, so as to maximize the probability of correctly classifying new inputs. For example, in image classification tasks, a discriminative model might use features such as brightness, contrast, and color intensity to distinguish between two images, where bright and dark pixels are more likely to be associated with one class than others.
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