- 专利标题: ASYNCHRONOUS NEURAL NETWORK TRAINING
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申请号: US15599058申请日: 2017-05-18
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公开(公告)号: US20180336458A1公开(公告)日: 2018-11-22
- 发明人: Ryota TOMIOKA , Matthew Alastair JOHNSON , Daniel Stefan TARLOW , Samuel Alexander WEBSTER , Dimitrios VYTINIOTIS , Alexander Lloyd GAUNT , Maik RIECHERT
- 申请人: Microsoft Technology Licensing, LLC
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G06N3/04
摘要:
A neural network training apparatus is described which has a network of worker nodes each having a memory storing a subgraph of a neural network to be trained. The apparatus has a control node connected to the network of worker nodes. The control node is configured to send training data instances into the network to trigger parallelized message passing operations which implement a training algorithm which trains the neural network. At least some of the message passing operations asynchronously update parameters of individual subgraphs of the neural network at the individual worker nodes.
公开/授权文献
- US11288575B2 Asynchronous neural network training 公开/授权日:2022-03-29
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