Invention Grant
- Patent Title: Depth-first convolution in deep neural networks
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Application No.: US16443695Application Date: 2019-06-17
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Publication No.: US11487998B2Publication Date: 2022-11-01
- Inventor: Rexford Alan Hill , Sruthikesh Surineni , Adrienne Milner , Vito Bica
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agent Edward J. Meisarosh
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06F17/15 ; G06K9/62

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.
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