Patent · US Active

Depth-first convolution in deep neural networks

US11487998B2 · kind B2 · utility

0Cited by

1References

22Claims

0Family size

Assignee

QUALCOMM Incorporated · US

Inventors

Rexford Hill · San Diego, US
Sruthikesh Surineni · Folsom, US
Adrienne Milner · San Diego, US
Vito Bica · Poway, US

Key dates

Filing date	Jun 17, 2019
Grant date	Nov 1, 2022
Priority date	—
Expiry date	Sep 1, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/084
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

In one embodiment, a depth-first deep convolutional network (DCN) having a first convolutional layer having a first first-layer kernel and adapted to convolve a first input and a second convolutional layer having a first second-layer kernel and adapted to convolve a second-layer input. A method for the DCN includes initiating convolution in the first convolution layer of the first input tensor with the first first-layer kernel to generate a value strip for the second input tensor and, prior to completion of the convolution in the first convolution layer, initiating convolution in the second convolution layer of the second input with the first second-layer kernel to generate a value strip for a third layer.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.