Lesson 09 – A softer perceptron, part V: multi-class likelihood and loss
Alfredo Canziani (冷在)
The lesson introduces the multi-class perceptron by first reviewing its hard decision-making mechanism before transitioning to a softer probabilistic approach. In this initial setup, the model computes inner products between weight vectors and feature inputs for each of the $K$ possible classes, sel …