Method and apparatus for adapting feature data in a convolutional neural network
US11568216B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 20, 2018 |
| Grant date | Jan 31, 2023 |
| Priority date | — |
| Expiry date | Dec 2, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/082
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and an apparatus for adapting feature data in a convolutional neural network. The method includes selecting a plurality of consecutive layers; determining an expected number of subdata blocks and a layout position, width and height of each subdata block in an output feature data of a last layer; determining, for each current layer, a layout position, width, and height of each subdata block of an input feature data for the current layer according to the layout position, width, and height of each subdata block of the output feature data for the current layer; determining an actual position of each subdata block of the input feature data for a first layer in the input feature data for the first layer; and obtaining the expected number of subdata blocks of the input feature data for the first layer according to the actual position, width and height of each subdata block of the input feature data for the first layer.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.