Term · Topic

Activation Function

Q: What is Activation Function?

An activation function is a mathematical operation in an artificial neuron that converts the neuron’s weighted input into an output value, enabling neural networks to represent and learn nonlinear relationships in data. Expanded Explanation 1. Technical Function and Core Characteristics An activation function maps the summed, weighted input of a neuron to an output value, often within a bounded range such as 0 to 1 or -1 to 1. It introduces nonlinearity into neural networks, which permits the

Activation function is a mathematical operation in an artificial neuron that introduces nonlinearity into neural networks, enabling them to approximate complex mappings in enterprise machine learning models and affecting training stability, resource usage, and predictive performance across business applications.

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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-function"},"name":"di_get_term"}}'

REST

GET https://api.decisioninsights.ai/api/public/v1/glossary/0a65d101-3a93-4f45-9746-2fc9ea90662e

CLI

di get-glossary --slug activation-function

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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 Map, Neural Network, Forward Propagation, Output Layer	`inDefinedTermSet`

View the raw record (JSON-LD)

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