Explain 'Softmax' output.

Explain 'Softmax' output.

Approach: Describe the layer that provides probabilities for multi-class classification.

The softmax layer at the end of a neural network converts the raw scores (logits) into a probability distribution over the predicted output classes.

Follow-up: Why do the outputs sum to 1?

Key concepts: classification, probabilities, normalization.