<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[LN_IOS的博客]]></title><description><![CDATA[hello world]]></description><link>https://blog.youkuaiyun.com/LN_IOS</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; LN_IOS]]></copyright><item><title><![CDATA[pythcarn使用git]]></title><link>https://blog.youkuaiyun.com/LN_IOS/article/details/85043917</link><guid>https://blog.youkuaiyun.com/LN_IOS/article/details/85043917</guid><author>LN_IOS</author><pubDate>Mon, 17 Dec 2018 09:27:11 +0800</pubDate><description><![CDATA[https://www.cnblogs.com/sddai/p/9385647.html

]]></description><category></category></item><item><title><![CDATA[Ubuntu 18.04安装Codeblocks]]></title><link>https://blog.youkuaiyun.com/LN_IOS/article/details/83752170</link><guid>https://blog.youkuaiyun.com/LN_IOS/article/details/83752170</guid><author>LN_IOS</author><pubDate>Mon, 05 Nov 2018 16:43:56 +0800</pubDate><description><![CDATA[一：首先安装简版CodeBlocks
sudo apt install codeblocks

二：把编译环境，C库、C++库和Boost库装好
sudo apt install build-essential

三：安装 CodeBlocks 的调试组件 Valgrind 用来探测内存泄露的
sudo apt install valgrind 

四：安装CodeBlocks常用插件
sudo ...]]></description><category></category></item><item><title><![CDATA[js_meihua]]></title><link>https://blog.youkuaiyun.com/LN_IOS/article/details/83656916</link><guid>https://blog.youkuaiyun.com/LN_IOS/article/details/83656916</guid><author>LN_IOS</author><pubDate>Fri, 02 Nov 2018 16:02:12 +0800</pubDate><description><![CDATA[http://www.css88.com/tool/js_beautify/

]]></description><category></category></item><item><title><![CDATA[ubuntu限制本地网速]]></title><link>https://blog.youkuaiyun.com/LN_IOS/article/details/83574637</link><guid>https://blog.youkuaiyun.com/LN_IOS/article/details/83574637</guid><author>LN_IOS</author><pubDate>Wed, 31 Oct 2018 09:47:37 +0800</pubDate><description><![CDATA[安装 wondershaper:
sudo apt-get install wondershaper
示例: $ sudo wondershaper eth0 100 20 （限制eth0网卡下载速度100K，上传速度20K）
示例:  $ sudo wondershaper clear eth0   (清除eth0网卡的网速限制）
ps:查看网卡名称用ifconfig -a 命令

...]]></description><category></category></item><item><title><![CDATA[Python下"No module named _tkinter"问题解决过程总结]]></title><link>https://blog.youkuaiyun.com/LN_IOS/article/details/83573529</link><guid>https://blog.youkuaiyun.com/LN_IOS/article/details/83573529</guid><author>LN_IOS</author><pubDate>Wed, 31 Oct 2018 09:29:46 +0800</pubDate><description><![CDATA[sudo apt install python3-tk (Ubuntu)
yum install python3-tk (Centos)
sudo apt install tk-dev (Ubuntu/Debian)
yum install tk-devel (CentOS)

]]></description><category></category></item><item><title><![CDATA[目標區域檢測]]></title><link>https://blog.youkuaiyun.com/LN_IOS/article/details/83210759</link><guid>https://blog.youkuaiyun.com/LN_IOS/article/details/83210759</guid><author>LN_IOS</author><pubDate>Sat, 20 Oct 2018 09:30:24 +0800</pubDate><description><![CDATA[https://blog.youkuaiyun.com/wsp_1138886114/article/details/82830263

]]></description><category></category></item><item><title><![CDATA[ubuntu18.04 深度學習環境配置]]></title><link>https://blog.youkuaiyun.com/LN_IOS/article/details/83095090</link><guid>https://blog.youkuaiyun.com/LN_IOS/article/details/83095090</guid><author>LN_IOS</author><pubDate>Tue, 16 Oct 2018 17:55:28 +0800</pubDate><description><![CDATA[1.ubuntu 桌面安裝顯卡驅動

安裝cuda-toolkit
sudo apt-get install nvidia-cuda-toolkit

3.安裝cudnn
usr/include
usr/lib/x86_64-linux_gnu
find .  -type f -name *cuda*

4.安裝tensorflow
https://github.com/mind/wheels/r...]]></description><category></category></item><item><title><![CDATA[math sign]]></title><link>https://blog.youkuaiyun.com/LN_IOS/article/details/80747220</link><guid>https://blog.youkuaiyun.com/LN_IOS/article/details/80747220</guid><author>LN_IOS</author><pubDate>Wed, 20 Jun 2018 15:51:21 +0800</pubDate><description><![CDATA[∑ni=0i2=(n2+n)(2n+1)6∑i=0ni2=(n2+n)(2n+1)6\sum_{i=0}^n i^2 = \frac{(n^2+n)(2n+1)}{6}



∑i=0ni2=ab∑i=0ni2=ab\sum_{i=0}^n i^2 = \frac{a}{b}



∑i=0ni2=(n2+n)(2n+1)6∑i=0ni2=(n2+n)(2n+1)6\sum_{i=0}^n i^2...]]></description><category></category></item><item><title><![CDATA[机器学习任务的一般步骤]]></title><link>https://blog.youkuaiyun.com/LN_IOS/article/details/80740231</link><guid>https://blog.youkuaiyun.com/LN_IOS/article/details/80740231</guid><author>LN_IOS</author><pubDate>Tue, 19 Jun 2018 23:08:01 +0800</pubDate><description><![CDATA[机器学习任务的一般步骤


一、确定特征：（收集训练数据）

1 &amp;amp;gt; 数据探索：（为什么要进行数据探索呢：有助于选择 合适的 数据预处理方法 和 建模方法）

    （1）数据质量分析
          -- 缺失值
          -- 异常值
    （2）特征分布特性的分析
          -- 统计量
          -- 直方图
    （3）特征之间相关性分析

...]]></description><category></category></item><item><title><![CDATA[anaconda安装过程，写的挺好的]]></title><link>https://blog.youkuaiyun.com/LN_IOS/article/details/80569785</link><guid>https://blog.youkuaiyun.com/LN_IOS/article/details/80569785</guid><author>LN_IOS</author><pubDate>Mon, 04 Jun 2018 17:01:07 +0800</pubDate><description><![CDATA[https://blog.youkuaiyun.com/woainishifu/article/details/74978647]]></description><category></category></item><item><title><![CDATA[卷积过程的一个动态图很形象]]></title><link>https://blog.youkuaiyun.com/LN_IOS/article/details/80538570</link><guid>https://blog.youkuaiyun.com/LN_IOS/article/details/80538570</guid><author>LN_IOS</author><pubDate>Fri, 01 Jun 2018 15:37:34 +0800</pubDate><description><![CDATA[卷积神经网络的卷积过程：

]]></description><category></category></item><item><title><![CDATA[LMDB数据生成与解析]]></title><link>https://blog.youkuaiyun.com/LN_IOS/article/details/80511411</link><guid>https://blog.youkuaiyun.com/LN_IOS/article/details/80511411</guid><author>LN_IOS</author><pubDate>Wed, 30 May 2018 15:57:33 +0800</pubDate><description><![CDATA[# -*- coding: utf-8 -*-

from scipy.misc import imsave
import numpy as np
import cPickle
import os
from mysql import connector


# # 定义将图片路径写入数据库的函数
#
# def write_img_path(img_path, img_label):
#     ...]]></description><category></category></item><item><title><![CDATA[LMDB数据生成与解析]]></title><link>https://blog.youkuaiyun.com/LN_IOS/article/details/80511350</link><guid>https://blog.youkuaiyun.com/LN_IOS/article/details/80511350</guid><author>LN_IOS</author><pubDate>Wed, 30 May 2018 15:55:06 +0800</pubDate><description><![CDATA[将图片转换为LMDB



# -*- coding: utf-8 -*-
import pickle
from PIL import Image
import numpy as np
import os
import matplotlib.image as plimg

from mysql import connector

# 定义与样本数据相关的变量

DATA_ALL_PATH = []...]]></description><category></category></item><item><title><![CDATA[简单函数图像画图matplot实现]]></title><link>https://blog.youkuaiyun.com/LN_IOS/article/details/80506967</link><guid>https://blog.youkuaiyun.com/LN_IOS/article/details/80506967</guid><author>LN_IOS</author><pubDate>Wed, 30 May 2018 10:54:22 +0800</pubDate><description><![CDATA[1.y = ax + b



# -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(-5, 5, 1000)

y = x + 1

plt.plot(x, y)

plt.show()



2、z = ax + by + c



# -*- coding: ut...]]></description><category></category></item><item><title><![CDATA[yolo入门很好的一篇文章]]></title><link>https://blog.youkuaiyun.com/LN_IOS/article/details/80447371</link><guid>https://blog.youkuaiyun.com/LN_IOS/article/details/80447371</guid><author>LN_IOS</author><pubDate>Fri, 25 May 2018 10:03:43 +0800</pubDate><description><![CDATA[https://www.cnblogs.com/minsons/p/7905473.html]]></description><category></category></item><item><title><![CDATA[requests.exceptions.SSLError]]></title><link>https://blog.youkuaiyun.com/LN_IOS/article/details/80243181</link><guid>https://blog.youkuaiyun.com/LN_IOS/article/details/80243181</guid><author>LN_IOS</author><pubDate>Tue, 08 May 2018 17:37:15 +0800</pubDate><description><![CDATA[暂未解决：



https://auctions.lyonandturnbull.com/full/547/223547.jpg]]></description><category></category></item><item><title><![CDATA[python       分布式计算]]></title><link>https://blog.youkuaiyun.com/LN_IOS/article/details/80222439</link><guid>https://blog.youkuaiyun.com/LN_IOS/article/details/80222439</guid><author>LN_IOS</author><pubDate>Mon, 07 May 2018 10:41:09 +0800</pubDate><description><![CDATA[dispy简介 
dispy论其实现，还是比较复杂的，但由于大牛们精巧的封装和设计，dispy作为一项工具，非常容易入手并深入使用。dispy既适用于在单机多处理器（SMP）环境下并行计算，也适用在计算机集群上进行并行计算。dispy没有提供各个子任务的通信机制，如有需要，可以直接使用asyncoro库进行通信和同步。 
dispy支持python2.7+和python3.1+版本，使用pip工具...]]></description><category></category></item><item><title><![CDATA[FDFS安装]]></title><link>https://blog.youkuaiyun.com/LN_IOS/article/details/80134717</link><guid>https://blog.youkuaiyun.com/LN_IOS/article/details/80134717</guid><author>LN_IOS</author><pubDate>Sat, 28 Apr 2018 14:31:39 +0800</pubDate><description><![CDATA[https://www.cnblogs.com/fishbay/archive/2017/09/24/7586772.html]]></description><category></category></item><item><title><![CDATA[tornado 将本地图片传到客户端]]></title><link>https://blog.youkuaiyun.com/LN_IOS/article/details/79913548</link><guid>https://blog.youkuaiyun.com/LN_IOS/article/details/79913548</guid><author>LN_IOS</author><pubDate>Thu, 12 Apr 2018 14:43:28 +0800</pubDate><description><![CDATA[# -*- coding:utf8 -*-
import tornado.ioloop
import tornado.web
from PIL import Image
import io

settings = {

    &quot;static_path&quot;: &quot;static&quot;,

}


class MainHandler(tornado.web.RequestHandler):
    def g...]]></description><category></category></item><item><title><![CDATA[# tornado web 接收图片]]></title><link>https://blog.youkuaiyun.com/LN_IOS/article/details/79897405</link><guid>https://blog.youkuaiyun.com/LN_IOS/article/details/79897405</guid><author>LN_IOS</author><pubDate>Wed, 11 Apr 2018 15:29:33 +0800</pubDate><description><![CDATA[tornado web 接收图片



# -*- coding:utf8 -*-
import tornado.ioloop
import tornado.web

__UPLOADS__ = 'uploads/'

class MainHandler(tornado.web.RequestHandler):

    def get(self):
        self.write('&amp;lt...]]></description><category></category></item></channel></rss>