Invention Application
- Patent Title: System and Method for Training Parameter Set in Neural Network
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Application No.: US15455259Application Date: 2017-03-10
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Publication No.: US20170185895A1Publication Date: 2017-06-29
- Inventor: Jia Chen , Jia Zeng
- Applicant: Huawei Technologies Co., Ltd.
- Priority: CN201510036813.0 20150126
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N5/04

Abstract:
A system and a method for training a parameter set in a neural network 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. The system also includes 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.
Information query