Eager learning is a method used in artificial intelligence where the system constructs a general, input-independent target function during the training phase.
For example, an eager learning system could be trained on a dataset of images and their corresponding labels. During the training phase, the system would learn to recognize patterns in the images and associate them with the correct labels, rather than simply memorizing the training data.