Semantic Analysis Guide to Master Natural Language Processing Part 9 When it comes to imbalanced data, we want to quickly reduce the loss of the well-defined example. Simultaneously, when the model receives hard and ambiguous examples, the loss increases, and it can optimize that loss rather than optimizing loss on the easy examples. It compares […]