Question: An image classification algorithm is being trained using the multiclass perceptron learning rule. There are 1 0 classes, each parameterized by a weight vector ~wk

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

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