Execution method, execution device, learning method, learning device, and recording medium for deep neural network
US11481613B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 26, 2019 |
| Grant date | Oct 25, 2022 |
| Priority date | — |
| Expiry date | Apr 16, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Executing a deep neural network by obtaining, during deep neural network inference, a binary intermediate feature map in binary representation by converting a floating-point or fixed-point intermediate feature map into a binary vector using a first transformation module; generating a compressed feature map by compressing the binary intermediate feature map using a nonlinear dimensionality reduction layer; storing the compressed feature map into memory; reconstructing the binary intermediate feature map by decompressing the compressed feature map read from the memory using a reconstruction layer corresponding to the nonlinear dimensionality reduction layer; and converting the reconstructed binary intermediate feature map into a floating-point or fixed-point intermediate feature map using a second transformation module.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.