Invention Grant
- Patent Title: Method and apparatus for optimizing and applying multilayer neural network model, and storage medium
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Application No.: US16295384Application Date: 2019-03-07
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Publication No.: US11755880B2Publication Date: 2023-09-12
- Inventor: Hongxing Gao , Wei Tao , Tsewei Chen , Dongchao Wen
- Applicant: CANON KABUSHIKI KAISHA
- Applicant Address: JP Tokyo
- Assignee: Canon Kabushiki Kaisha
- Current Assignee: Canon Kabushiki Kaisha
- Current Assignee Address: JP Tokyo
- Agency: Canon U.S.A., Inc. IP Division
- Priority: CN 1810193968.9 2018.03.09 CN 1811389762.X 2018.11.21
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06N3/08

Abstract:
A method and an apparatus for optimizing and applying a multilayer neural network model, and a storage medium are provided. The optimization method includes, dividing out at least one sub-structure from the multilayer neural network model to be optimized, wherein a tail layer of the divided sub-structure is a quantization layer, and transferring operation parameters in layers other than the quantization layer to the quantization layer for each of the divided sub-structures and updating quantization threshold parameters in the quantization layer based on the transferred operation parameters. When a multilayer neural network model optimized based on the optimization method is operated, the necessary processor resources can be reduced.
Public/Granted literature
- US20190279072A1 METHOD AND APPARATUS FOR OPTIMIZING AND APPLYING MULTILAYER NEURAL NETWORK MODEL, AND STORAGE MEDIUM Public/Granted day:2019-09-12
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