<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Indus_permanent的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Indus_permanent</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Indus_permanent]]></copyright><item><title><![CDATA[VGGNet：Very Deep Convolutional Networks for Large-Scale Image Recognition]]></title><link>https://blog.youkuaiyun.com/Indus_permanent/article/details/80468194</link><guid>https://blog.youkuaiyun.com/Indus_permanent/article/details/80468194</guid><author>Indus_permanent</author><pubDate>Sun, 03 Jun 2018 22:11:03 +0800</pubDate><description><![CDATA[1 Introduction2 ConvNet Configurations2.1 Architecture2.2 Configutations2.3 Discussion3 Classification Framework3.1 Training3.2 Testing3.3 Implementation Details4 Classification Experiments4.1 Single ...]]></description><category></category></item><item><title><![CDATA[AlexNet：ImageNet Classification with Deep Convolutional Neural Networks]]></title><link>https://blog.youkuaiyun.com/Indus_permanent/article/details/80332674</link><guid>https://blog.youkuaiyun.com/Indus_permanent/article/details/80332674</guid><author>Indus_permanent</author><pubDate>Mon, 21 May 2018 21:31:19 +0800</pubDate><description><![CDATA[参考：概述       本文网络结构相对较浅，而且能够提取到比较丰富的特征，而很多任务的数据集无法达到ImageNet的规模，使用AlexNet是比较好的特征提取方法。网络结构AlexNet有5个卷积层和3个全连接层，移除任意一层都会降低最终的效果。网络结构如图：输入图片为224*224*3，卷积核大小为11*11*3，步长为4，输出为55*55*96。...]]></description><category></category></item><item><title><![CDATA[Convolutional Neural Network 卷积神经网络]]></title><link>https://blog.youkuaiyun.com/Indus_permanent/article/details/80168049</link><guid>https://blog.youkuaiyun.com/Indus_permanent/article/details/80168049</guid><author>Indus_permanent</author><pubDate>Wed, 02 May 2018 17:21:19 +0800</pubDate><description><![CDATA[参考来源：1、https://blog.youkuaiyun.com/zouxy09/article/details/87815432、http://www.cnblogs.com/ooon/p/5415888.html3、https://blog.youkuaiyun.com/v_july_v/article/details/518124594、http://www.cnblogs.com/charlotte77/p/...]]></description><category></category></item><item><title><![CDATA[LeNet-5: Gradient-Based Learning Applied to Document Recognitionm]]></title><link>https://blog.youkuaiyun.com/Indus_permanent/article/details/80161742</link><guid>https://blog.youkuaiyun.com/Indus_permanent/article/details/80161742</guid><author>Indus_permanent</author><pubDate>Wed, 02 May 2018 16:04:35 +0800</pubDate><description><![CDATA[参考网址：1、https://blog.youkuaiyun.com/zouxy09/article/details/87815432、https://blog.youkuaiyun.com/kaido0/article/details/531616843、https://blog.youkuaiyun.com/qianqing13579/article/details/71076261LeNet-5一种典型的用来识别数字的卷积网络...]]></description><category></category></item><item><title><![CDATA[吴恩达 deeplearning.ai课程-改善深层神经网络 ：超参数调试、正则化及优化(1) 深度学习的实用层面]]></title><link>https://blog.youkuaiyun.com/Indus_permanent/article/details/80112706</link><guid>https://blog.youkuaiyun.com/Indus_permanent/article/details/80112706</guid><author>Indus_permanent</author><pubDate>Fri, 27 Apr 2018 20:46:39 +0800</pubDate><description><![CDATA[原文参考来源：https://blog.youkuaiyun.com/red_stone1/article/details/78208851                      https://blog.youkuaiyun.com/koala_tree/article/details/781256971. Train/Dev/Test sets选择最佳的训练集（Training sets）、验证集（Develop...]]></description><category></category></item><item><title><![CDATA[Win7 64位Tensorflow-CPU安装与Pycharm配置问题]]></title><link>https://blog.youkuaiyun.com/Indus_permanent/article/details/80041991</link><guid>https://blog.youkuaiyun.com/Indus_permanent/article/details/80041991</guid><author>Indus_permanent</author><pubDate>Mon, 23 Apr 2018 15:26:10 +0800</pubDate><description><![CDATA[参考：http://www.jb51.net/article/132119.htmhttps://blog.youkuaiyun.com/u010099080/article/details/53418159此笔记是在联网状态下的tensorflow安装，离线状态下试了好多次未成功，奇怪！（小白总结，啰嗦勿怪啊）前言：1）安装tensorflow之前，电脑上已存有python3,5,pycharm,在搜教程时...]]></description><category></category></item><item><title><![CDATA[吴恩达 deeplearning.ai课程-卷积神经网络 (2)深度卷积模型-实例探究]]></title><link>https://blog.youkuaiyun.com/Indus_permanent/article/details/79893182</link><guid>https://blog.youkuaiyun.com/Indus_permanent/article/details/79893182</guid><author>Indus_permanent</author><pubDate>Wed, 11 Apr 2018 10:56:20 +0800</pubDate><description><![CDATA[继续参考来源：https://blog.youkuaiyun.com/red_stone1/article/details/78769236https://blog.youkuaiyun.com/koala_tree/article/details/78531398有关CNN典型架构的发展：https://blog.youkuaiyun.com/kangroger/article/details/56522132#googlenet...]]></description><category></category></item><item><title><![CDATA[Deep Residual Learning for Image Recognition]]></title><link>https://blog.youkuaiyun.com/Indus_permanent/article/details/79790992</link><guid>https://blog.youkuaiyun.com/Indus_permanent/article/details/79790992</guid><author>Indus_permanent</author><pubDate>Tue, 03 Apr 2018 20:33:16 +0800</pubDate><description><![CDATA[论文完整翻译详见：https://blog.youkuaiyun.com/wspba/article/details/57074389 重要参考：https://blog.youkuaiyun.com/wspba/article/details/56019373https://blog.youkuaiyun.com/lanran2/article/details/79057994https://blog.youkuaiyun.com/abcje...]]></description><category></category></item><item><title><![CDATA[Python-win7 64位安装]]></title><link>https://blog.youkuaiyun.com/Indus_permanent/article/details/79795973</link><guid>https://blog.youkuaiyun.com/Indus_permanent/article/details/79795973</guid><author>Indus_permanent</author><pubDate>Tue, 03 Apr 2018 10:58:19 +0800</pubDate><description><![CDATA[本篇总结一下Python，及其编译环境和第三方模块的安装，由于自己很笨，故费了九牛二虎之力，参考各种网上资料，才得完成一、首先下载python 安装包https://www.python.org/downloads/选择下载版本，安装选择第一个就ok了。具体如下：点击install,至此成功安装。下面启动Python来测试安装成功，从开始菜单，选择“Python”下面的IDLE，打开。注：IDLE...]]></description><category></category></item><item><title><![CDATA[吴恩达 deeplearning.ai课程-卷积神经网络 (1)卷积神经网络基础]]></title><link>https://blog.youkuaiyun.com/Indus_permanent/article/details/79789871</link><guid>https://blog.youkuaiyun.com/Indus_permanent/article/details/79789871</guid><author>Indus_permanent</author><pubDate>Mon, 02 Apr 2018 16:15:02 +0800</pubDate><description><![CDATA[卷积神经网络的课程共有4周，第一周为卷积神经网络基础，分9小节来讲述CNN的基础概念、原理和简单的网络结构。课程已在网易云课堂微专业上学习过，发现以下两者大神总结的很好，故拿来总结。参考来源：https://blog.youkuaiyun.com/red_stone1/article/details/78651063https://blog.youkuaiyun.com/koala_tree/article/detail...]]></description><category></category></item><item><title><![CDATA[Network In Network]]></title><link>https://blog.youkuaiyun.com/Indus_permanent/article/details/79630650</link><guid>https://blog.youkuaiyun.com/Indus_permanent/article/details/79630650</guid><author>Indus_permanent</author><pubDate>Tue, 20 Mar 2018 19:57:04 +0800</pubDate><description><![CDATA[Network In Network2014，Min Lin, Qiang Chen, Shuicheng Yan参考来源：http://blog.youkuaiyun.com/hiterdu/article/details/45418545http://www.cnblogs.com/jie-dcai/p/5726266.htmlhttps://github.com/BVLC/caffe/wiki/Mode...]]></description><category></category></item><item><title><![CDATA[Inception V1：Going deeper with convolutions]]></title><link>https://blog.youkuaiyun.com/Indus_permanent/article/details/79582387</link><guid>https://blog.youkuaiyun.com/Indus_permanent/article/details/79582387</guid><author>Indus_permanent</author><pubDate>Fri, 16 Mar 2018 15:30:05 +0800</pubDate><description><![CDATA[注：本文参考来源http://blog.youkuaiyun.com/stdcoutzyx/article/details/40759903https://www.cnblogs.com/jie-dcai/p/5727122.htmlhttp://blog.youkuaiyun.com/stdcoutzyx/article/details/51052847http://blog.youkuaiyun.com/mounty_fsc/ ...]]></description><category></category></item><item><title><![CDATA[matlab-SVM学习记1]]></title><link>https://blog.youkuaiyun.com/Indus_permanent/article/details/71515299</link><guid>https://blog.youkuaiyun.com/Indus_permanent/article/details/71515299</guid><author>Indus_permanent</author><pubDate>Wed, 10 May 2017 10:42:46 +0800</pubDate><description><![CDATA[一：下载安装SVM工具箱
通用工具箱网址：http://see.xidian.edu.cn/faculty/chzheng/bishe/indexfiles/indexl.htm
添加路径：add path~
检验安装成功,运行代码：which svcoutput
二:测试数据SVM分类

%输入参数:X,Y,ker,C,p1,p2
    N = 50;
    n=2*N;]]></description><category></category></item></channel></rss>