Memory efficient convolution operations in deep learning neural networks
US11210584B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 31, 2017 |
| Grant date | Dec 28, 2021 |
| Priority date | — |
| Expiry date | Mar 20, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0464
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Input image data having a plurality of pixel values represented in a two-dimensional matrix form of columns and rows is received. The input image data is transformed into a plurality of input rows. The pixel values in each input row correspond to the pixel values in a predetermined subset of the columns of the input image data and all of the rows of each column of the subset of columns. A plurality of subsets of pixel values in the plurality of input rows is determined. The number of pixel values in each row of a subset of pixel values equal in number to a number of filter values in a filter. Each input row of each subset of pixel values is convolved with the filter values of the filter to determine a corresponding output value and stored in a memory.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.