Invention Grant
- Patent Title: Method and apparatus for universal pruning and compression of deep convolutional neural networks under joint sparsity constraints
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Application No.: US16141035Application Date: 2018-09-25
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Publication No.: US11423312B2Publication Date: 2022-08-23
- Inventor: Yoo Jin Choi , Mostafa El-Khamy , Jungwon Lee
- Applicant: Samsung Electronics Co., Ltd.
- Applicant Address: KR Gyeonggi-do
- Assignee: Samsung Electronics Co., Ltd.
- Current Assignee: Samsung Electronics Co., Ltd.
- Current Assignee Address: KR Gyeonggi-do
- Agency: The Farrell Law Firm, P.C.
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06F17/15 ; G06F7/02 ; G06N3/04

Abstract:
A method and system for constructing a convolutional neural network (CNN) model are herein disclosed. The method includes regularizing spatial domain weights, providing quantization of the spatial domain weights, pruning small or zero weights in a spatial domain, fine-tuning a quantization codebook, compressing a quantization output from the quantization codebook, and decompressing the spatial domain weights and using either sparse spatial domain convolution and sparse Winograd convolution after pruning Winograd-domain weights.
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