TensorFlow Machine Learning Projects

Logistic regression for multiclass classification

When more than two classes are involved, logistic regression is known as multinomial logistic regression. In multinomial logistic regression, instead of sigmoid, use the softmax function, which can be described mathematically as follows:

The softmax function produces the probabilities for each class so that the probabilities vector adds up to 1. At the time of inference, the class with the highest softmax value becomes the output or predicted class. The loss function, as we discussed earlier, is the negative log-likelihood function, -l(w), that can be minimized by the optimizers, such as gradient ...