Harmonic densely connecting method of block of convolutional neural network model and system thereof, and non-transitory tangible computer readable recording medium
US12367374B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 13, 2022 |
| Grant date | Jul 22, 2025 |
| Priority date | — |
| Expiry date | May 23, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/94
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A harmonic densely connecting method includes an input step, a plurality of layer operation steps and an output step. The input step is for storing an original input tensor of the block into a memory. Each of the layer operation steps includes a layer-input tensor concatenating step and a convolution operation step. The layer-input tensor concatenating step is for selecting at least one layer-input element tensor of a layer-input set from the memory according to an input connection rule. When a number of the at least one layer-input element tensor is greater than 1, concatenating all of the layer-input element tensors and producing a layer-input tensor. The convolution operation step is for calculating a convolution operation to produce at least one result tensor and then storing the at least one result tensor into the memory. The output step is for outputting a block output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.