Lesson 4
Linear Classification
Chapter : Lesson 4
Episode 8 - Multiclass Classifiers
Summary:
- How do you convert a binary classifier to handle multiclass classification?
- One vs. all or one vs. rest: A vs (B+C), B vs (A+C), C vs (A+B)
- One vs. one: A vs B, A vs C, B vs C
- Reformulate model/loss function for multiclass classification
- e.g. Categorical cross-entropy loss or Softmax loss