基于深度学习的数字识别方法研究分析 教育教学专业VIP专享VIP免费

目录摘要·························································································1Abstract······················································································2前言·························································································3第一章绪论···············································································41.1研究背景及意义····································································41.2深度学习概述·······································································41.3本文的主要工作····································································51.4本文的组织结构····································································5第二章数字图像识别技术································································72.1图像识别技术·······································································72.2研究现状分析·······································································72.2.1基于神经网络·································································82.2.2基于小波矩····································································92.2.3基于分形特征·································································92.3本章小结·············································································9第三章基于深度学习的数字识别方法···············································103.1深层神经网络训练方法·························································103.1.1线性感知器算法····························································103.1.2卷积神经网络算法·························································103.1.3循环神经网络算法·························································133.1.4长短时记忆网络算法······················································143.2Google第二代人工智能系统TensorFlow····························...