- [[multi-class classification]], [[one-vs-rest classification strategy]], [[cross-entropy loss]] - [[logistic regression]], [[binary cross-entropy loss function|binary cross-entropy]] # Idea Two strategies are often used for multi-class problems: [[one-vs-rest classification strategy]]. # References - https://campus.datacamp.com/courses/linear-classifiers-in-python/logistic-regression-3?ex=9 - [Multiclass - Neural network training | Coursera](https://www.coursera.org/learn/advanced-learning-algorithms/lecture/4u2wC/multiclass)