Device storing ternary weight parameters for machine-trained network
US11017295B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 16, 2017 |
| Grant date | May 25, 2021 |
| Priority date | — |
| Expiry date | Mar 9, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/082
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Some embodiments provide a set of processing units and a set of machine-readable media. The set of machine-readable media stores sets of instructions for applying a network of computation nodes to an input received by the device. The network of computation nodes includes multiple layers of nodes. The set of machine-readable media stores a set of machine-trained weight parameters for configuring the network to perform a specific function. Each layer of nodes has an associated value, and each of the weight parameters is associated with a computation node. Each weight parameter is zero, the associated value for the layer of the computation node with which the weight parameter is associated, or the negative of the associated value for the layer of the computation node with which the weight parameter is associated. Each weight value is stored using two bits or less of data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.