Neural network model deployment method, prediction method and related device
US12020142B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 22, 2019 |
| Grant date | Jun 25, 2024 |
| Priority date | — |
| Expiry date | Feb 26, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/105
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of this application provide a neural network model deployment method, a prediction method and a device. The described features can implement deployment of a neural network model to improve the universality of the deployment of the neural network model to the terminal device by obtaining a layer definition and an operation parameter of each network layer of an initial neural network model, executing a target network layer corresponding to the network layers, applying relational connections amongst the target network layers using a net class, converting the operation parameters into a preset format, obtaining a target operation parameter based on the preset format, loading a corresponding target operation parameter in the target network layer, and obtaining a target neural network model based on the target operation parameter.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.