Down-sampling for convolutional neural networks
US11429867B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Oct 11, 2018 |
| Grant date | Aug 30, 2022 |
| Priority date | — |
| Expiry date | Jul 1, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A down-sampling operation for a convolutional neural network is provided. The present invention may include dividing received input to form a grid pattern having a set of odd and even numbered rows and columns and extracting data from each cell of the grid pattern to form a set of corresponding inputs. The present invention may include, in response to assigning data extracted from each cell to a corresponding channel, performing down-sampling of the extracted data for a respective channel associated with the input using an inverse of a first factor and increasing a number of the channels by a product of the first factor. The present invention may include adjusting a respective position of the received input by applying a transform to the data down-sampled to create transformed data. The present invention may include sending the transformed data as input to a next layer without addition or loss of data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.