- 专利标题: Neural Network Inference and Training Using A Universal Coordinate Rotation Digital Computer
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申请号: US16866994申请日: 2020-05-05
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公开(公告)号: US20210350221A1公开(公告)日: 2021-11-11
- 发明人: Javier Elenes
- 申请人: Silicon Laboratories Inc.
- 申请人地址: US TX Austin
- 专利权人: Silicon Laboratories Inc.
- 当前专利权人: Silicon Laboratories Inc.
- 当前专利权人地址: US TX Austin
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G06F7/544 ; G06N3/04
摘要:
A system and method of implementing a neural network with a non-linear activation function is disclosed. A Universal Coordinate Rotation Digital Computer (CORDIC) is used to implement the activation function. Advantageously, the CORDIC is also used during training for back propagation. Using a CORDIC, activation functions such as hyperbolic tangent and sigmoid may be implemented without the use of a multiplier. Further, the derivatives of these functions, which are needed for back propagation, can also be implemented using the CORDIC.
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