- 专利标题: Skimming data sequences using recurrent neural networks
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申请号: US16865747申请日: 2020-05-04
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公开(公告)号: US11048875B2公开(公告)日: 2021-06-29
- 发明人: Quoc V. Le , Hongrae Lee , Wei Yu
- 申请人: Google LLC
- 申请人地址: US CA Mountain View
- 专利权人: Google LLC
- 当前专利权人: Google LLC
- 当前专利权人地址: US CA Mountain View
- 代理机构: Fish & Richardson P.C.
- 主分类号: G06F40/30
- IPC分类号: G06F40/30 ; G06F40/284 ; G06N3/04 ; G06N3/08 ; G06F40/289
摘要:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing sequential data. In one aspect, a computer-implemented method includes receiving a request to generate a system output for an input data sequence, the input data sequence including a plurality of tokens. One or more tokens may be designated as tokens to be skipped. When a token has not been designated as a token to be skipped, the token is processed using a recurrent neural network to update a current internal state of the recurrent neural network. The system output is generated from the final internal state of the recurrent neural network.
公开/授权文献
- US20200265191A1 SKIMMING DATA SEQUENCES USING RECURRENT NEURAL NETWORKS 公开/授权日:2020-08-20
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