activationFunction

P16017
predicate

Indicates the specific mathematical transformation applied to a neuron's input to produce its output in a computational or neural model.

All labels observed (5)

Label Occurrences
usesActivationFunction 4
activationFunction canonical 3
hasActivationFunction 2

Description generation (PDg)

The one-sentence description above was generated by prompting gpt-5.1 with the predicate name and this instruction.

Instruction
Given a predicate that represents a relationship or action between entities, generate a one-sentence description explaining its meaning.  
# Instructions
Focus on describing the relationship, not the entities themselves. 
# Response Format
Begin the description with \' Indicates...\'
Input
Predicate: activationFunction
Generated description
Indicates the specific mathematical transformation applied to a neuron's input to produce its output in a computational or neural model.

Sample triples (12)

Subject Object
LeNet sigmoid function ⓘ
LeNet tanh function ⓘ
Hopfield network
linked to: Hopfield networks
sign function via predicate surface "hasActivationFunction" ⓘ
Hopfield network
linked to: Hopfield networks
threshold function via predicate surface "hasActivationFunction" ⓘ
AlexNet ReLU via predicate surface "usesActivationFunction" ⓘ
AlexNet rectified linear units via predicate surface "usesNonlinearity" ⓘ
VGG ReLU via predicate surface "usesActivationFunction" ⓘ
MobileNetV2 ReLU6 ⓘ
Network-in-Network architecture ReLU via predicate surface "usesActivationFunction" ⓘ
ImageNet Classification with Deep Convolutional Neural Networks ReLU via predicate surface "usesActivationFunction" ⓘ
Gated Recurrent Unit
linked to: GU
tanh via predicate surface "typicalActivationFunction" ⓘ
Gated Recurrent Unit
linked to: GU
sigmoid via predicate surface "typicalActivationFunction" ⓘ