An image classification algorithm is being trained using the multiclass perceptron learning rule.

There are $10$ classes, each parameterized by a weight vector ~wk$,$ for $0<=$ k $<=9.$ During the

last round of training, all of the training tokens were correctly classified. Which of the weight

vectors were updated, and why