- 专利标题: Random matrix hardware for machine learning
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申请号: US15836098申请日: 2017-12-08
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公开(公告)号: US11494655B2公开(公告)日: 2022-11-08
- 发明人: Xiao Sun , Youngseok Kim , Chun-Chen Yeh
- 申请人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 申请人地址: US NY Armonk
- 专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人地址: US NY Armonk
- 代理机构: Tutunjian & Bitetto, P.C.
- 代理商 Robert Sullivan
- 主分类号: G06F15/80
- IPC分类号: G06F15/80 ; G06F7/58 ; G06K9/62 ; G06F17/16 ; G06N3/08 ; G06V10/94
摘要:
A computer-implemented method for training a random matrix network is presented. The method includes initializing a random matrix, inputting a plurality of first vectors into the random matrix, and outputting a plurality of second vectors from the random matrix to be fed back into the random matrix for training. The random matrix can include a plurality of two-terminal devices or a plurality of three-terminal devices or a film-based device.
公开/授权文献
- US20190180185A1 RANDOM MATRIX HARDWARE FOR MACHINE LEARNING 公开/授权日:2019-06-13
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