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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.

ReLU

Functions & Programming Concepts · Level 2 of 5

ReLU

An activation function returning the larger of zero and its input.

Its derivative is zero for negative inputs and one for positive inputs, with a convention at zero.

Example

A unit maps negative three to zero and positive three to three.

Listen to the definition and example

Audio transcript

ReLU. An activation function returning the larger of zero and its input. Its derivative is zero for negative inputs and one for positive inputs, with a convention at zero. For example: A unit maps negative three to zero and positive three to three.

Explore this concept

A useful analogy

A one-way gate that blocks negative signals and passes positive ones.

Why it matters

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

Technical detail

ReLU(x) = max(0,x). At x = 0 the derivative is not unique; implementations choose a convention.

Common misconception

A unit receiving only negative preactivations can stop receiving useful gradients.

Quick recall question

Try answering before looking back at the definition.

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

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