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Logical OR

As explained in Math and Architectures of Deep Learning

A binary logical operation that outputs true when at least one input is true.

Logical OR combines binary inputs, each valued 0 or 1. It outputs 1 when at least one input signals 1, making it useful for systems that respond to any detected condition. section 7.2.1

From detectors to decisions

A timid cat runs away when an object is hard OR sharp. Similarly, a self-driving car applies the brake when a person, vehicle, OR bend is detected; the multi-input version responds if any detector emits 1. section 7.2.1

How Math and Architectures of Deep Learning covers it

How deep it goes
Defines binary inputs and illustrates two-input and multi-input behavior, but does not develop implementation internals.
Examples
Uses a timid cat, hardness and sharpness detectors, and a self-driving car braking system.
What it assumes
Assumes only binary variables and teaches their 0/1 interpretation through concrete decision systems.
What you can do after
Evaluate binary detector systems that trigger when at least one input condition is present.
How it connects
Connects logical OR to logical AND, logical NOT, and multi-input logical functions.

Also explained in

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Related concepts

This explainer was generated by Manning's knowledge graph from the text of Math and Architectures of Deep Learning. The section links point to the parts of the book it draws on.