- 专利标题: NEURAL ARCHITECTURE SEARCH SYSTEM AND SEARCH METHOD
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申请号: US18249723申请日: 2020-11-12
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公开(公告)号: US20230385603A1公开(公告)日: 2023-11-30
- 发明人: Yuki Arikawa , Kenji Tanaka , Tsuyoshi Ito , Tsutomu Takeya , Takeshi Sakamoto
- 申请人: Nippon Telegraph and Telephone Corporation
- 申请人地址: JP Tokyo
- 专利权人: Nippon Telegraph and Telephone Corporation
- 当前专利权人: Nippon Telegraph and Telephone Corporation
- 当前专利权人地址: JP Tokyo
- 国际申请: PCT/JP2020/042265 2020.11.12
- 进入国家日期: 2023-04-19
- 主分类号: G06N3/04
- IPC分类号: G06N3/04 ; G06N3/08
摘要:
A neural architecture search system includes a deployment constraint management unit that converts a first constraint condition that defines a constraint of a system that implements a neural network into a second constraint condition that defines a constraint of a parameter that prescribes an architecture of the neural network, a learning engine unit that performs learning of the neural network under a search condition and calculates inference accuracy in a case where the learned neural network is used, and a model modification unit that causes the learning engine unit to perform the learning and the calculation of the inference accuracy while changing the architecture of the neural network on the basis of the inference accuracy and the second constraint condition so as to obtain the best inference accuracy.
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