Terms related to neural networks · 3.4.2
convolutional neural network
a feed forward neural network that uses convolution in at least one layer
What this term settles
The definition is deliberately narrow. It tells the reader what counts as convolutional neural network and leaves the engineering choices outside the word.
Who it binds
Nothing here creates an obligation by itself. The obligation arrives when the firm writes convolutional neural network into a control, a specification or a purchase order.
What to do in your practice
Take the firm own definition of convolutional neural network, put it beside this one and mark the differences. Each difference is either a deliberate local choice or an inconsistency to fix.
Evidence an auditor or regulator asks for
- A controlled vocabulary entry for convolutional neural network with the citation 3.4.2, an owner and a review date.An auditor can check that the term is controlled rather than assumed.
- A model architecture note that names the network form and the layers used.Shows convolutional neural network in use in the artefact the firm relies on, not only in a glossary.
- A test record that shows the behaviour the architecture was chosen for.The architecture note uses the network name as a marketing label with no layer or training detail behind it.
Common gaps this page catches
- convolutional neural network is used in the network architecture note without a written definition, so two teams can mean different things.
- The vocabulary is reviewed when someone remembers, not on a cadence, so entries drift from the artefacts they describe.
What to prepare before the amendment lands
Take the next policy revision and replace the loose use of convolutional neural network with the entry and its citation. Record the change in the vocabulary change log.
How to test it here
Take one live artefact rather than a template, find the sentence or field where convolutional neural network is used, and put this page beside it. Record the answer, the artefact and the date, because that record is the evidence and a glossary entry on its own is only an intention.
What this page does not claim
The page does not reproduce the standard, certify the firm or predict the wording the amendment will use; it states convolutional neural network at the claim level "definition" and stops where the public record stops.
Common questions
- What does convolutional neural network mean in ISO 22989?
- a feed forward neural network that uses convolution in at least one layer
- What evidence should we keep for 3.4.2?
- A controlled vocabulary entry for convolutional neural network with the citation 3.4.2, an owner and a review date. A model architecture note that names the network form and the layers used.
- Is convolutional neural network a requirement?
- No: convolutional neural network is a definition or clause of a terminology standard, and it becomes binding only when a firm writes it into a policy, a contract or a procedure, or when another standard incorporates it.
Related units
Source. ISO/IEC 22989:2022, Clause 3.4.2, Terms and definitions. Open the ISO public entry. Retrieved 21 October 2026.
https://www.iso.org/obp/ui/en/#iso:std:iso-iec:22989:ed-1:v1:en
ISO catalogue record 88145, the amendment status, stage and dates. Catalogue record 74296, the base standard.
Claim level: definition. The definition is in the public preview. This page states it in our own words and does not reproduce the text.
Last updated: 2026-10-21 · Markdown version · Check your vocabulary