ReLU Function
MathematicalFunction AIO:ReLUFunction NOT_REVIEWED
A mathematical function that returns max(x 0) the element-wise maximum of 0 and the input tensor.
Ontology IRI:
https://w3id.org/aio/ReLUFunction
Ontology Structure & Relationships
Parent Classes
Branches
Annotations & Sources
Synonyms:
- ReLU exact
- Rectified Linear Unit exact
Definition Sources:
Subsets:
https://w3id.org/aio/ActivationFunctionSubsethttps://w3id.org/aio/FunctionSubset
Curated AIMech Concepts Grounded to this Class
4 Concepts| Curated Concept | Kind | Mapping Relation | Rationale |
|---|---|---|---|
Identity-initialized rectified recurrent neural network
AIMech:IdentityInitializedRecurrentNeuralNetwork |
Architectures | related_match | The rectified linear function supplies the hidden transition nonlinearity. The complete recurrent architecture is related to, rather than a subclass of, its component activation function. |
MEX Operator
AIMech:MEXOperator |
Mathematical Methods | related_match | Adding a zero input and taking the positive infinite-parameter limit recovers scalar ReLU; finite MEX is not equivalent to the pinned function. |
Maxout Unit
AIMech:MaxoutUnit |
Mathematical Methods | related_match | Scalar ReLU is a particular two-piece construction, whereas general maxout has learned affine pieces and may be negative. This is a special-case relationship, not equivalence or a claim that ReLU is broader. |
Noisy rectifier
AIMech:NoisyRectifier |
Mathematical Methods | related_match | The stochastic activation applies the pinned positive-part ReLU function after additive noise. This is an essential component relationship; the sampled output is not the same deterministic function of preactivation and no equivalence or subclass assertion is made. |
Import Provenance & Upstream Synchronization
Source Repo: AIO GitHub
Release Version:
aio.jsonCommit:
397851c547…License: CC-BY-4.0
Imported At: 2026-10-10T07:34:10Z
SHA256:
8f741d71408c…
Source File:
data/aio/ReLUFunction.yaml