Reduced complexity convolution for convolutional neural networks
US11048997B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 1, 2017 |
| Grant date | Jun 29, 2021 |
| Priority date | — |
| Expiry date | Sep 9, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for convolution in a convolutional neural network (CNN) is provided that includes accessing a coefficient value of a filter corresponding to an input feature map of a convolution layer of the CNN, and performing a block multiply accumulation operation on a block of data elements of the input feature map, the block of data elements corresponding to the coefficient value, wherein, for each data element of the block of data elements, a value of the data element is multiplied by the coefficient value and a result of the multiply is added to a corresponding data element in a corresponding output block of data elements comprised in an output feature map.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.