Per kernel Kmeans compression for neural networks
US11055604B2 · kind B2 · utility
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10Claims
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Key dates
| Filing date | Sep 12, 2017 |
| Grant date | Jul 6, 2021 |
| Priority date | — |
| Expiry date | Apr 22, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/088
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and apparatus relating to techniques for incremental network quantization. In an example, an apparatus comprises logic, at least partially comprising hardware logic to determine a plurality of weights for a layer of a convolutional neural network (CNN) comprising a plurality of kernels; organize the plurality of weights into a plurality of clusters for the plurality of kernels; and apply a K-means compression algorithm to each of the plurality of clusters. Other embodiments are also disclosed and claimed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.