Machine Learning Fundamentals · free preview
Batched Classification and Accuracy
A minibatch is classified by one matrix-matrix product followed by a row-wise softmax, and the hard decision the model outputs is the argmax of its probability row.
1. Two operations over a minibatch
Two operations over a minibatch
2. From probabilities to a decision
From probabilities to a decision
3. When the argmax is not enough
When the argmax is not enough
4. Accuracy, and why it is not the objective
Accuracy, and why it is not the objective
5. Why accuracy is not the training loss
A classifier reports accuracy rather than softmax cross-entropy on its validation set. Which statement explains why cross-entropy serves as the training objective and accuracy does not?
6. The argmax of a probability row
A softmax row is for a four-class problem. The predicted class index is ____.
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