neural network design method
C28997
concept
A neural network design method is a systematic approach for selecting, structuring, and configuring neural network architectures and training procedures to solve specific computational or learning tasks.
All labels observed (8)
| Label | Occurrences |
|---|---|
| neural architecture search method | 3 |
| constructive neural network algorithm | 1 |
| convolutional neural network architecture family | 1 |
| differentiable architecture search algorithm | 1 |
| gradient-based optimization method for architectures | 1 |
| neural network design method canonical | 1 |
| neural network training method | 1 |
| neuromorphic engineering approach | 1 |
Description generation (CDg)
The one-sentence description above was generated by prompting gpt-5.1 with the class name and this instruction.
Instruction
generate a one-sentence description for a given conceptual class. # Response Format Return only the sentence: "Description: [one-sentence description of the conceptional class]"
Input
Class: neural network design method
Generated description
A neural network design method is a systematic approach for selecting, structuring, and configuring neural network architectures and training procedures to solve specific computational or learning tasks.
Instances (7)
| Instance | Via concept surface |
|---|---|
| Neural Architecture Search | — |
| Cascade-Correlation learning architecture | neural network training method |
| analog VLSI for neural systems | neuromorphic engineering approach |
| NASNet | convolutional neural network architecture family |
| DARTS | neural architecture search method |
| ENAS | neural architecture search method |
| ProxylessNAS | neural architecture search method |