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 (4)
| Label | Occurrences |
|---|---|
| usesActivationFunction | 4 |
| activationFunction canonical | 3 |
| hasActivationFunction | 2 |
| usesNonlinearity | 1 |
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 (10)
| Subject | Object |
|---|---|
| LeNet | sigmoid function ⓘ |
| LeNet | tanh function ⓘ |
|
Hopfield networks
surface form:
Hopfield network
|
sign function via predicate surface "hasActivationFunction" ⓘ |
|
Hopfield networks
surface form:
Hopfield network
|
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" NERFINISHED ⓘ |
| ImageNet Classification with Deep Convolutional Neural Networks | ReLU via predicate surface "usesActivationFunction" ⓘ |