Convolutional neural network using adaptive 3D array
US11954573B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 26, 2019 |
| Grant date | Apr 9, 2024 |
| Priority date | — |
| Expiry date | Mar 6, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/063
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of constructing an adaptive multiply accumulate layer in a convolutional neural network, including determining an activation data map width, an activation data map height, a channel depth, a batch, a kernel width, a kernel height and a filter set number, setting a first dimension of an adaptive multiplier layer based on the activation data map width, setting a second dimension of the adaptive multiplier layer based on the channel depth, setting a third dimension of the adaptive multiplier layer based on the filter set number and constructing the adaptive multiplier layer based on the first dimension, the second dimension and the third dimension.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.