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    SYSTEM AND METHOD FOR TRAINING PARAMETER SET IN NEURAL NETWORK
    1.
    发明公开
    SYSTEM AND METHOD FOR TRAINING PARAMETER SET IN NEURAL NETWORK 审中-公开

    公开(公告)号：EP3196809A4

    公开(公告)日：2017-11-22

    申请号：EP15879628

    申请日：2015-08-04

    申请人： HUAWEI TECH CO LTD

    发明人： CHEN JIA ,  ZENG JIA

    IPC分类号： G06N3/08 ,  G06N3/04 ,  G06N5/04

    CPC分类号： G06N3/08 ,  G06N3/0454 ,  G06N3/084 ,  G06N5/04

    摘要： The present invention discloses a system and a method for training a parameter set in a neural network. The system includes: a main-control-node set, used for controlling a training process and storing a data set and a parameter set that are used for training, where the main-control-node set includes M main control nodes, every two of the M main control nodes are in a communication connection, and at least one main control node of the M main control nodes is configured to back up the parameter set; and N training-node sets, where the training-node set includes multiple training nodes, and the training node is configured to perform training according to a data set and a parameter set that are delivered by the main-control-node set, and send a training result to a corresponding main control node. The system and the method in embodiments of the present invention can avoid a case in which entire training fails when a main control node is disabled, which improves reliability of a training process, and enhances training efficiency by performing training in parallel by configuring multiple training-node sets.