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1. CN111242273 - 一种神经网络模型训练方法及电子设备

Office China
Application Number 201910139681.2
Application Date 26.02.2019
Publication Number 111242273
Publication Date 05.06.2020
Publication Kind A
IPC
G06N 3/04
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architecture, e.g. interconnection topology
G06N 3/08
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
G06K 9/20
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
20Image acquisition
G06K 9/34
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
20Image acquisition
34Segmentation of touching or overlapping patterns in the image field
Applicants 华为终端有限公司
Inventors 谢淼
施烈航
姚恒志
勾军委
Agents 北京同达信恒知识产权代理有限公司 11291
Priority Data 2018114433317 29.11.2018 CN
Title
(ZH) 一种神经网络模型训练方法及电子设备
Abstract
(ZH)
本申请提供一种神经网络模型训练方法及电子设备,该方法包括:电子设备将n个训练样本输入到参考神经网络模型中进行处理,得到与每个训练样本对应的第一文本识别结果;然后电子设备将该n个训练样本输入到初始神经网络模型中进行处理,得到与每个训练样本对应的第二文本识别结果;最终电子设备根据该第一文本识别结果、该第二文本识别结果以及n个训练样本中的第一部分训练样本的人工标注结果,对该初始神经网络模型中的参数进行调整,得到目标神经网络模型。

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