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Term · Topic

Convolutional Neural Network (CNN)

Convolutional neural network is a deep learning model architecture that uses convolutional layers to learn hierarchical features from grid-like data, especially images, and supports enterprise workloads such as computer vision, inspection, diagnostics support, biometrics, document analysis, and video analytics.

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MCP

curl -X POST https://mcp.decisioninsights.ai/api/mcp-public \
  -H "content-type: application/json" \
  -H "accept: application/json, text/event-stream" \
  -d '{"id":1,"jsonrpc":"2.0","method":"tools/call","params":{"arguments":{"slug":"convolutional-neural-network-cnn"},"name":"di_get_term"}}'

REST

GET https://api.decisioninsights.ai/api/public/v1/glossary/f5f85fbb-e95c-4319-b9ff-f526e2146892

CLI

di get-glossary --slug convolutional-neural-network-cnn

JSON-LD

The schema.org markup this page publishes for search engines and AI agents, exactly as they read it.

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How an agent can rely on this definition

What the record lets an agent check before it uses the term in an answer.

The check What the record shows Where it is in the data
It's a known term One entry, with its abbreviation and type (topic) name, alternateName
It sits in a glossary Linked to Deep Neural Network, Neural Network, Residual Network, Graph Neural Network inDefinedTermSet
View the raw record (JSON-LD)
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