hasNumberOfWeightLayers
P48113
predicate
Indicates the relationship that specifies how many distinct weight layers are present in a given model or structure.
All labels observed (3)
| Label | Occurrences |
|---|---|
| hasEncoderLayersApprox | 2 |
| hasNumberOfWeightLayers canonical | 2 |
| numberOfLayersInModel | 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: hasNumberOfWeightLayers
Generated description
Indicates the relationship that specifies how many distinct weight layers are present in a given model or structure.
Sample triples (5)
| Subject | Object |
|---|---|
|
VGG
surface form:
VGG-16
|
16 ⓘ |
|
VGG
surface form:
VGG-19
|
19 ⓘ |
| XLM-R | 12 (base variant) via predicate surface "hasEncoderLayersApprox" ⓘ |
| XLM-R | 24 (large variant) via predicate surface "hasEncoderLayersApprox" ⓘ |
| ImageNet Classification with Deep Convolutional Neural Networks | 8 via predicate surface "numberOfLayersInModel" ⓘ |