Hardware implementation of a convolutional neural network
US11948070B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 10, 2023 |
| Grant date | Apr 2, 2024 |
| Priority date | — |
| Expiry date | Apr 10, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method in a hardware implementation of a Convolutional Neural Network (CNN), includes receiving a first subset of data having at least a portion of weight data and at least a portion of input data for a CNN layer and performing, using at least one convolution engine, a convolution of the first subset of data to generate a first partial result; receiving a second subset of data comprising at least a portion of weight data and at least a portion of input data for the CNN layer and performing, using the at least one convolution engine, a convolution of the second subset of data to generate a second partial result; and combining the first partial result and the second partial result to generate at least a portion of convolved data for a layer of the CNN.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.