- 专利标题: Classification model building apparatus and classification model building method thereof
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申请号: US16741707申请日: 2020-01-13
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公开(公告)号: US11416717B2公开(公告)日: 2022-08-16
- 发明人: Chen-Kuo Chiang , Hao-Ting Li , Chih-Cheng Lin
- 申请人: Institute For Information Industry
- 申请人地址: TW Taipei
- 专利权人: Institute For Information Industry
- 当前专利权人: Institute For Information Industry
- 当前专利权人地址: TW Taipei
- 代理机构: Birch, Stewart, Kolasch & Birch, LLP
- 优先权: CN201911117515.9 20191115
- 主分类号: G06K9/62
- IPC分类号: G06K9/62 ; G06N20/10 ; G06N3/08
摘要:
A classification model building apparatus and a classification model building method thereof are provided. The classification model building apparatus introduces a clustering algorithm to assist in training a deep learning model for classification and takes a sum of a clustering loss function, a center concentration loss function and a classification loss function multiplied by different weights, respectively, as a total loss function for training the deep learning model. Based on the total loss function, the classification model building apparatus adjusts parameters of the deep learning model through a backpropagation algorithm to build a classification model.
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