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Deep learning artificial Neural Network based image recognition method and system

机译:基于深度学习人工神经网络的图像识别方法与系统

摘要

The present invention provides a deep learning-based image recognition method, comprising the steps of: training a deep learning model based on a deep learning framework using training image data to obtain at least two deep learning models; selecting a predetermined number of deep learning models corresponding to less than or equal to the number of the obtained deep learning models from the deep learning models obtained in descending order of recognition accuracy for the verified image data; and recognizing the image data to be recognized by using at least one of the selected deep learning models; a deep learning artificial neural network-based image recognition method and a system used therefor are provided, including. According to the present invention, a deep learning image recognition method and apparatus, and a computer-readable storage medium have the effect of partially solving or alleviating the technical problems of the deep learning framework-related technology.
机译:本发明提供了一种基于深度学习的图像识别方法,包括以下步骤:使用训练图像数据训练基于深度学习框架的深度学习模型,以获得至少两个深度学习模型;从对所验证的图像数据按识别精度降序获得的深度学习模型中,选择与所获得的深度学习模型的数量小于或等于所获得的深度学习模型的数量相对应的预定数量的深度学习模型;以及通过使用所选深度学习模型中的至少一个来识别要识别的图像数据;本发明提供了一种基于深度学习人工神经网络的图像识别方法及其系统,包括:。根据本发明,深度学习图像识别方法和设备以及计算机可读存储介质具有部分解决或缓解深度学习框架相关技术的技术问题的效果。

著录项

  • 公开/公告号KR102379637B1

    专利类型

  • 公开/公告日2022-03-30

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020190143989

  • 发明设计人 박경남;

    申请日2019-11-12

  • 分类号G06N3/04;G06N3/08;G06T3/40;G06T3/60;G06T5;

  • 国家 KR

  • 入库时间 2022-08-25 00:17:49

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