Home / AIO Classes / Layer / Convolutional Layer

Convolutional Layer

Layer AIO:ConvolutionalLayer NOT_REVIEWED

A layer that contains a set of filters (or kernels) parameters of which are to be learned throughout the training.

Ontology IRI: https://w3id.org/aio/ConvolutionalLayer

Ontology Structure & Relationships

Parent Classes

Branches

Layer

Definition Sources:

Subsets:

4 Concepts

Curated Concept	Kind	Mapping Relation	Rationale
Attention-Based Configurable Convolutional Neural Network `AIMech:AttentionBasedConfigurableConvolutionalNeuralNetwork`	Architectures	related_match	Image feature extraction, question-configured convolution and channel reduction are components of the whole architecture.
Attention-Based Convolutional Neural Network `AIMech:AttentionBasedConvolutionalNeuralNetwork`	Architectures	related_match	Learned local convolutional filters are components of the architecture, not an equivalent sentence-pair model.
Dynamic Convolutional Layer `AIMech:DynamicConvolutionalLayer`	Layers & Modules	related_match	It applies convolution, but the pinned target describes filters as trained parameters; here the applied sample-specific kernels are generated activations. The related mapping preserves that distinction without silently equating the definitions.
Neural GPU `AIMech:NeuralGPU`	Architectures	related_match	Learned local convolutional kernel banks implement candidate and gate computations; a component layer is not the whole recurrent architecture.

Source Repo: AIO GitHub

Release Version: aio.json

Commit: 397851c547…

License: CC-BY-4.0

Imported At: 2026-10-10T07:34:10Z

SHA256: 8f741d71408c…

Source File: data/aio/ConvolutionalLayer.yaml