- 专利标题: Encoding of weight values stored on neural network inference circuit
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申请号: US16457756申请日: 2019-06-28
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公开(公告)号: US11049013B1公开(公告)日: 2021-06-29
- 发明人: Kenneth Duong , Jung Ko , Steven L. Teig
- 申请人: Perceive Corporation
- 申请人地址: US CA San Jose
- 专利权人: Perceive Corporation
- 当前专利权人: Perceive Corporation
- 当前专利权人地址: US CA San Jose
- 代理机构: Adeli LLP
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G06N3/04 ; G06N3/063 ; G06F17/16
摘要:
Some embodiments provide a neural network inference circuit for executing a neural network that includes multiple computation nodes at multiple layers. Each of a set of the computation nodes includes a dot product of input values and weight values. The neural network inference circuit includes (i) a first set of memory units allocated to storing input values during execution of the neural network and (ii) a second set of memory units storing encoded weight value data. The weight value data is encoded such that less than one bit of memory is used per weight value of the neural network.
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