发明公开
- 专利标题: ARTIFICIAL NEURON NETWORK HAVING AT LEAST ONE UNIT CELL QUANTIFIED IN BINARY
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申请号: US18470281申请日: 2023-09-19
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公开(公告)号: US20240095502A1公开(公告)日: 2024-03-21
- 发明人: Pierre Demaj , Laurent Folliot
- 申请人: STMicroelectronics (Rousset) SAS
- 申请人地址: FR Rousset
- 专利权人: STMicroelectronics (Rousset) SAS
- 当前专利权人: STMicroelectronics (Rousset) SAS
- 当前专利权人地址: FR Rousset
- 优先权: FR 09551 2022.09.21
- 主分类号: G06N3/0464
- IPC分类号: G06N3/0464
摘要:
An artificial neural network includes a unit cell. The unit cell includes a first binary two-dimensional convolution layer configured to receive an input tensor and to generate a first tensor. A first batch normalization layer is configured to receive the first tensor and to generate a second tensor. A concatenation layer is configured to generate a third tensor by concatenating the input tensor and the second tensor. A second binary two-dimensional convolution layer is configured to receive the third tensor and to generate a fourth tensor. A second batch normalization layer is configured to generate an output tensor based on the fourth tensor.
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