基于Python的卷积神经网络模型分析与构建  

Analysis and construction of Python convolutional neural network model

作　　者：田凌燕[1] Tian Lingyan(Pass College of Chongqing Technology and Business University,Chongqing 401520,China)

机构地区：[1]重庆工商大学派斯学院,重庆401520

出　　处：《无线互联科技》2020年第11期19-20,共2页Wireless Internet Technology

摘　　要：随着科学技术的发展,如今,机器学习领域也取得了快速的发展,并产生了诸多神经网络模型。文章将对基于Python的卷积神经网络模型进行相关分析阐述,并通过实例分析的方式,说明基于Python的人脸识别卷积神经网络模型方案,以期能够为业内人士提供理论参考。With the development of science and technology,the field of machine learning has been developed rapidly,and many neural network models have been produced.This paper will analyze the correlation of Python based convolutional neural network model,and through the way of example analysis,explain the Python based face recognition convolutional neural network model scheme,in order to provide theoretical reference for the industry.

关 键 词：PYTHON 卷积神经网络模型 人脸识别 

分 类 号：TP312.1[自动化与计算机技术—计算机软件与理论] TP183[自动化与计算机技术—计算机科学与技术]