multinomial logistic regression

(30 minutes to learn)


Multinomial logistic regression is a generalization of logistic regression to the case where there are more than two categories.


This concept has the prerequisites:


  • Know what the multinomial logistic regression model is
  • Derive the gradient descent update rule

Core resources (read/watch one of the following)


Supplemental resources (the following are optional, but you may find them useful)


See also