Hybrid filter banks for artificial neural networks
US12067373B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 31, 2020 |
| Grant date | Aug 20, 2024 |
| Priority date | — |
| Expiry date | Mar 29, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure advantageously provides a system including a memory, a processor, and a circuitry to execute one or more mixed precision layers of an artificial neural network (ANN), each mixed precision layer including high-precision weight filters and low precision weight filters. The circuitry is configured to perform one or more calculations on an input feature map having a plurality of input channels (cin) using the high precision weight filters to create a high precision output feature map having a first number of output channels (k), perform one or more calculations on the input feature map using the low precision weight filters to create a low precision output feature map having a second number of output channels (cout−k), and concatenate the high precision output feature map and the low precision output feature map to create a unified output feature map having a plurality of output channels (cout).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.