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Vocabulary

Understand the term. Connect the concept.

A practical dictionary of 512 AI, machine learning, mathematics, and programming terms from HerbDev’s AI Vocabulary app. Start with a definition, explore an example, then follow the concepts behind it.

Linked concepts open in a new tab. Audio reads the definition and example.

Softmax

Functions & Programming Concepts · Level 2 of 5

Softmax

A transformation from real-valued scores to a positive vector summing to one.

Exponentials are normalized across a selected axis; numerical implementations subtract a maximum for stability.

Example

Three class scores become a categorical probability distribution.

Listen to the definition and example

Audio transcript

Softmax. A transformation from real-valued scores to a positive vector summing to one. Exponentials are normalized across a selected axis; numerical implementations subtract a maximum for stability. For example: Three class scores become a categorical probability distribution.

Explore this concept

A useful analogy

Turning competing scores into shares of one whole pie.

Why it matters

This helps you distinguish a computation’s contract, inputs, outputs, and behavior.

Technical detail

softmax(z)_i = exp(z_i − m) / Σ_j exp(z_j − m), with m = max(z). Subtracting m preserves the result and improves numerical stability.

Common misconception

Softmax outputs sum to one, but they are not automatically calibrated probabilities.

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Related concepts

Quick recall question

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Put the terminology into context: How AI works · Machine-native representations · All learning paths

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