Softmax regression (SR) (or multinomial logistic regression) is a generalization of logistic regression to the case where we want to handle multiple classes. Same as the blog about LR, this blog will detail the modeling approach, loss function, forward and backward propagation of SR. In the end, I will use python with numpy to implement SR and give the use on data sets iris and mnist. You can find all the code here.
Logistic regression (LR) is a binary classification algorithm for predicting discrete values (In general, the predicted result is 0 or 1). This blog will detail the modeling approach, loss function, forward and backward propagation of LR. In the end, I will use python with numpy to implement LR and give the use on data sets iris and mnist. You can find all the code here.
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