Term · Topic

Activation Map

Q: What is Activation Map?

Activation map is a numerical representation of the output values produced by one or more neurons or filters in a Neural Network (NN) layer for a specific input, typically organized as a multidimensional tensor. Expanded Explanation 1. Technical Function and Core Characteristics An activation map, also called a feature map, records the responses of neurons or convolutional filters to localized regions of an input, such as an image or sequence. It encodes which features the network detects and

Activation map is the tensor of neuron or filter outputs produced by a neural network layer for a given input, and it matters in enterprises because it affects interpretability, resource usage, model debugging, and optimization of production AI workloads.

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  -H "content-type: application/json" \
  -H "accept: application/json, text/event-stream" \
  -d '{"id":1,"jsonrpc":"2.0","method":"tools/call","params":{"arguments":{"slug":"activation-map"},"name":"di_get_term"}}'

REST

GET https://api.decisioninsights.ai/api/public/v1/glossary/03218e5f-f6ac-4786-9f9a-a43c40c65009

CLI

di get-glossary --slug activation-map

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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 type (topic)	`name`
It sits in a glossary	Linked to Activation Function, Network Map, Quantum Feature Map, Output Layer	`inDefinedTermSet`

View the raw record (JSON-LD)

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