发明授权
- 专利标题： System and method for hyper-parameter analysis for multi-layer computational structures
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申请号： US14938370申请日： 2015-11-11
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公开(公告)号： US10534994B1公开(公告)日： 2020-01-14
- 发明人: Piyush Kaul , Samer Lutfi Hijazi , Raul Alejandro Casas , Rishi Kumar , Xuehong Mao , Christopher Rowen
- 申请人： Cadence Design Systems, Inc.
- 申请人地址： US CA San Jose
- 专利权人： Cadence Design Systems, Inc.
- 当前专利权人： Cadence Design Systems, Inc.
- 当前专利权人地址： US CA San Jose
- 代理机构： Holland & Knight LLP
- 代理商 Mark H. Whittenberger, Esq.
- 主分类号： G06N3/04
- IPC分类号： G06N3/04 ; G06N3/08
摘要：
The present disclosure relates to a computer-implemented method for analyzing one or more hyper-parameters for a multi-layer computational structure. The method may include accessing, using at least one processor, input data for recognition. The input data may include at least one of an image, a pattern, a speech input, a natural language input, a video input, and a complex data set. The method may further include processing the input data using one or more layers of the multi-layer computational structure and performing matrix factorization of the one or more layers. The method may also include analyzing one or more hyper-parameters for the one or more layers based upon, at least in part, the matrix factorization of the one or more layers.
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