- 专利标题: Neural network model deployment method, prediction method and related device
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申请号: US16659888申请日: 2019-10-22
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公开(公告)号: US12020142B2公开(公告)日: 2024-06-25
- 发明人: Xiao Long Zhu , Yi Tong Wang , Kai Ning Huang , Lijian Mei , Shenghui Huang , Jingmin Luo
- 申请人: Tencent Technology (Shenzhen) Company Limited
- 申请人地址: CN Shenzhen
- 专利权人: Tencent Technology (Shenzhen) Company Limited
- 当前专利权人: Tencent Technology (Shenzhen) Company Limited
- 当前专利权人地址: CN Shenzhen
- 代理机构: Crowell & Moring LLP
- 优先权: CN 1711330928.6 2017.12.13
- 主分类号: G06N20/00
- IPC分类号: G06N20/00 ; G06N3/063 ; G06N3/08 ; G06N5/046 ; G06T1/20 ; G06V10/764 ; G06V10/82
摘要:
Embodiments of this application provide a neural network model deployment method, a prediction method and a device. The described features can implement deployment of a neural network model to improve the universality of the deployment of the neural network model to the terminal device by obtaining a layer definition and an operation parameter of each network layer of an initial neural network model, executing a target network layer corresponding to the network layers, applying relational connections amongst the target network layers using a net class, converting the operation parameters into a preset format, obtaining a target operation parameter based on the preset format, loading a corresponding target operation parameter in the target network layer, and obtaining a target neural network model based on the target operation parameter.
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