<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Crystal_LYP的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Crystal_LYP</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Crystal_LYP]]></copyright><item><title><![CDATA[eclipse运行c语言程序出现“Launch failed!Binary not found” eclipse编译加入动态库]]></title><link>https://blog.youkuaiyun.com/Crystal_LYP/article/details/127092481</link><guid>https://blog.youkuaiyun.com/Crystal_LYP/article/details/127092481</guid><author>Crystal_LYP</author><pubDate>Wed, 28 Sep 2022 16:46:18 +0800</pubDate><description><![CDATA[eclipse运行c语言程序出现“Launch failed!Binary not found” eclipse编译加入动态库]]></description><category></category></item><item><title><![CDATA[Linux检测C代码是否内存泄漏]]></title><link>https://blog.youkuaiyun.com/Crystal_LYP/article/details/127091782</link><guid>https://blog.youkuaiyun.com/Crystal_LYP/article/details/127091782</guid><author>Crystal_LYP</author><pubDate>Wed, 28 Sep 2022 16:33:05 +0800</pubDate><description><![CDATA[Linux检测C代码是否存在内存泄漏]]></description><category></category></item><item><title><![CDATA[C静态库生成及调用测试]]></title><link>https://blog.youkuaiyun.com/Crystal_LYP/article/details/127089953</link><guid>https://blog.youkuaiyun.com/Crystal_LYP/article/details/127089953</guid><author>Crystal_LYP</author><pubDate>Wed, 28 Sep 2022 16:08:26 +0800</pubDate><description><![CDATA[C语言静态库的生成及调用]]></description><category></category></item><item><title><![CDATA[C动态库生成及调用测试]]></title><link>https://blog.youkuaiyun.com/Crystal_LYP/article/details/127086196</link><guid>https://blog.youkuaiyun.com/Crystal_LYP/article/details/127086196</guid><author>Crystal_LYP</author><pubDate>Wed, 28 Sep 2022 11:56:31 +0800</pubDate><description><![CDATA[C动态库]]></description><category></category></item><item><title><![CDATA[TensorFlow图像操作]]></title><link>https://blog.youkuaiyun.com/Crystal_LYP/article/details/103923151</link><guid>https://blog.youkuaiyun.com/Crystal_LYP/article/details/103923151</guid><author>Crystal_LYP</author><pubDate>Fri, 10 Jan 2020 13:51:31 +0800</pubDate><description><![CDATA[注意：接受 Tensor 参数的函数也可以接受被 tf.convert_to_tensor 接受的任何内容
TensorFlow 编码和解码图像
TensorFlow 提供操作来解码和编码 JPEG 和 PNG 格式。编码图像由标量字符串 Tensors 表示，解码图像由shape为[height, width, channels]的3-D uint8张量表示。(PNG也支持 uint16)
编码...]]></description><category></category></item><item><title><![CDATA[TensorFlow函数:tf.image.resize_nearest_neighbor函数]]></title><link>https://blog.youkuaiyun.com/Crystal_LYP/article/details/103923101</link><guid>https://blog.youkuaiyun.com/Crystal_LYP/article/details/103923101</guid><author>Crystal_LYP</author><pubDate>Fri, 10 Jan 2020 13:48:10 +0800</pubDate><description><![CDATA[tf.image.resize_nearest_neighbor(
    images,
    size,
    align_corners=False,
    name=None
)

使用最近邻插值调整images为size.
参数：
images：一个Tensor,必须是下列类型之一：int8,uint8,int16,uint16,int32,int64,half,float32,f...]]></description><category></category></item><item><title><![CDATA[Cs231n作业：SVM]]></title><link>https://blog.youkuaiyun.com/Crystal_LYP/article/details/103559715</link><guid>https://blog.youkuaiyun.com/Crystal_LYP/article/details/103559715</guid><author>Crystal_LYP</author><pubDate>Mon, 16 Dec 2019 11:37:08 +0800</pubDate><description><![CDATA[步骤
1.定义一个损失函数，量化我们对训练数据中分数的不满意程度。
2.提出一种有效地找出使损失函数最小的参数的方法。

]]></description><category></category></item><item><title><![CDATA[python range函数]]></title><link>https://blog.youkuaiyun.com/Crystal_LYP/article/details/103557882</link><guid>https://blog.youkuaiyun.com/Crystal_LYP/article/details/103557882</guid><author>Crystal_LYP</author><pubDate>Mon, 16 Dec 2019 10:16:53 +0800</pubDate><description><![CDATA[range(start,end,step=1)
#start是计数开始的位置，默认为0
#end是计数结束的位置，最后返回的列表不包含这个数
#step是默认为1的
start: 计数从 start 开始。默认是从 0 开始。例如range（10）等价于range（0， 10）
stop: 计数到 stop 结束，但不包括 stop。例如：range（0,10） 是[0, 1, 2, 3, 4,5...]]></description><category></category></item><item><title><![CDATA[python中pop函数用法]]></title><link>https://blog.youkuaiyun.com/Crystal_LYP/article/details/103500009</link><guid>https://blog.youkuaiyun.com/Crystal_LYP/article/details/103500009</guid><author>Crystal_LYP</author><pubDate>Wed, 11 Dec 2019 21:32:57 +0800</pubDate><description><![CDATA[pop() 函数用于移除列表中的一个元素（默认最后一个元素），并且返回该元素的值。
语法：list.pop(obj=list[-1])       //默认为 index=-1，删除最后一个列表值。
obj – 可选参数，要移除列表元素的对象。
该方法返回从列表中移除的元素对象。
sentence=['All', 'good', 'things', 'come', 'to' ,'those', '...]]></description><category></category></item><item><title><![CDATA[cs231n作业Assignment1 knn]]></title><link>https://blog.youkuaiyun.com/Crystal_LYP/article/details/103467015</link><guid>https://blog.youkuaiyun.com/Crystal_LYP/article/details/103467015</guid><author>Crystal_LYP</author><pubDate>Wed, 11 Dec 2019 21:05:10 +0800</pubDate><description><![CDATA[k-Nearest Neighbor (kNN) exercise
kNN分类器包含两个阶段:
1.训练阶段：
kNN分类器获取训练数据集，并进行存储
2.测试阶段：
kNN分类器将每个测试图像与所有训练图像进行比较，计算出两者之间的距离。找出k张距离最近的训练图像，在这k张距离最近的训练图像中，选择标签类别占多数的类别，作为测试图像的类别。
k值的交叉验证
通过交叉验证得到最优的k值
# Run...]]></description><category></category></item><item><title><![CDATA[Coursera | Using python to access web data week6 Assignments]]></title><link>https://blog.youkuaiyun.com/Crystal_LYP/article/details/102093629</link><guid>https://blog.youkuaiyun.com/Crystal_LYP/article/details/102093629</guid><author>Crystal_LYP</author><pubDate>Fri, 04 Oct 2019 23:07:55 +0800</pubDate><description><![CDATA[Assignment1
import urllib.request,urllib.parse,urllib.error
import json

sum,count=0,0
url=input('Enter location:')
print('Retrieving',url)
uh=urllib.request.urlopen(url)
data=uh.read().decode()
print...]]></description><category></category></item><item><title><![CDATA[Coursera | Using python to access web data quiz6]]></title><link>https://blog.youkuaiyun.com/Crystal_LYP/article/details/102092715</link><guid>https://blog.youkuaiyun.com/Crystal_LYP/article/details/102092715</guid><author>Crystal_LYP</author><pubDate>Fri, 04 Oct 2019 20:29:55 +0800</pubDate><description><![CDATA[第一次
1.第 1 个问题
Who is credited with the REST approach to web services?
Bjarne Stroustrup
Roy Fielding
Leonard Klienrock
Daphne Koller
Vint Cerf
1 分
答案：Roy Fielding
2.第 2 个问题
What Python library do you ...]]></description><category></category></item><item><title><![CDATA[Using python to access web data week5 Assignment]]></title><link>https://blog.youkuaiyun.com/Crystal_LYP/article/details/101701335</link><guid>https://blog.youkuaiyun.com/Crystal_LYP/article/details/101701335</guid><author>Crystal_LYP</author><pubDate>Sun, 29 Sep 2019 17:03:12 +0800</pubDate><description><![CDATA[import urllib.request,urllib.parse,urllib.error
import xml.etree.ElementTree as ET

url=input('Enter location: ')
print('Retrieving',url)
uh=urllib.request.urlopen(url)
data=uh.read()
print('Retrieved...]]></description><category></category></item><item><title><![CDATA[Using python to access web data quiz5]]></title><link>https://blog.youkuaiyun.com/Crystal_LYP/article/details/101695627</link><guid>https://blog.youkuaiyun.com/Crystal_LYP/article/details/101695627</guid><author>Crystal_LYP</author><pubDate>Sun, 29 Sep 2019 16:23:21 +0800</pubDate><description><![CDATA[1.第1个问题
What is the name of the Python 2.x library to parse XML data?
xml-misc
xml2
xml.etree.ElementTree
xml.json
C
2.第 2 个问题
What is the method to cause Python to parse XML that is stored in a strin...]]></description><category></category></item><item><title><![CDATA[神经网路与深度学习第一章练习]]></title><link>https://blog.youkuaiyun.com/Crystal_LYP/article/details/100982070</link><guid>https://blog.youkuaiyun.com/Crystal_LYP/article/details/100982070</guid><author>Crystal_LYP</author><pubDate>Wed, 18 Sep 2019 14:21:37 +0800</pubDate><description><![CDATA[Numpy练习
https://github.com/shazhongcheng/machine_learing_study/blob/master/复旦-神经网络与深度学习/finished/chap1_warmup/numpy_%20tutorial.ipynb

]]></description><category></category></item><item><title><![CDATA[Using Python to Access Web Data quiz3]]></title><link>https://blog.youkuaiyun.com/Crystal_LYP/article/details/100175719</link><guid>https://blog.youkuaiyun.com/Crystal_LYP/article/details/100175719</guid><author>Crystal_LYP</author><pubDate>Sat, 31 Aug 2019 18:18:37 +0800</pubDate><description><![CDATA[1.What do we call it when a browser uses the HTTP protocol to load a file or page from a server and display it in the browser?
D
Internet Protocol (IP)
DECNET
SMTP
IMAP
The Request/Response Cycle
1 分
...]]></description><category></category></item><item><title><![CDATA[3.2网络数据获取]]></title><link>https://blog.youkuaiyun.com/Crystal_LYP/article/details/99429082</link><guid>https://blog.youkuaiyun.com/Crystal_LYP/article/details/99429082</guid><author>Crystal_LYP</author><pubDate>Tue, 13 Aug 2019 13:56:47 +0800</pubDate><description><![CDATA[用Requests库的get()函数抓取一个你平时经常使用的网站主页，并查看该网站的爬虫协议（如果有的话）。默认答案是正确，你成功了吗？(●’◡’●)
抓取网站情况多样，有时还会很复杂，这需要长期的积累，不能一蹴而就，列举几种情况：
a.假设获取的是二进制文件，则可以借鉴如下方法保存数据：
import requests
 
r = requests.get('https://www.baidu....]]></description><category></category></item><item><title><![CDATA[python123测验3: 基本数据类型 (第2周)]]></title><link>https://blog.youkuaiyun.com/Crystal_LYP/article/details/99308239</link><guid>https://blog.youkuaiyun.com/Crystal_LYP/article/details/99308239</guid><author>Crystal_LYP</author><pubDate>Mon, 12 Aug 2019 16:20:45 +0800</pubDate><description><![CDATA[单选题
1
pow(x, 0.5)能够计算x的平方根，计算负数的平方根将产生：‪‬‪‬‪‬‪‬‪‬‮‬‪‬‫‬‪‬‪‬‪‬‪‬‪‬‮‬‭‬‫‬‪‬‪‬‪‬‪‬‪‬‮‬‫‬‪‬‪‬‪‬‪‬‪‬‪‬‮‬‫‬‫‬‪‬‪‬‪‬‪‬‪‬‮‬‫‬‭‬‪‬‪‬‪‬‪‬‪‬‮‬‪‬‫‬
A
无输出
B
ValueError错误
C
程序崩溃
D
复数
正确答案： D



pow(-1, 0.5)
(6.1232...]]></description><category></category></item><item><title><![CDATA[python123测验2: Python基本图形绘制 (第1周)]]></title><link>https://blog.youkuaiyun.com/Crystal_LYP/article/details/99307884</link><guid>https://blog.youkuaiyun.com/Crystal_LYP/article/details/99307884</guid><author>Crystal_LYP</author><pubDate>Mon, 12 Aug 2019 16:17:19 +0800</pubDate><description><![CDATA[单选题
1
哪个选项不能正确引用turtle库进而使用setup()函数？‪‬‪‬‪‬‪‬‪‬‮‬‪‬‫‬‪‬‪‬‪‬‪‬‪‬‮‬‭‬‫‬‪‬‪‬‪‬‪‬‪‬‮‬‫‬‪‬‪‬‪‬‪‬‪‬‪‬‮‬‫‬‫‬‪‬‪‬‪‬‪‬‪‬‮‬‫‬‭‬‪‬‪‬‪‬‪‬‪‬‮‬‪‬‫‬
A
import turtle as t
B
from turtle import*
C
import setup from tur...]]></description><category></category></item><item><title><![CDATA[python123测验1: Python基本语法元素 (第1周)]]></title><link>https://blog.youkuaiyun.com/Crystal_LYP/article/details/99307534</link><guid>https://blog.youkuaiyun.com/Crystal_LYP/article/details/99307534</guid><author>Crystal_LYP</author><pubDate>Mon, 12 Aug 2019 16:14:33 +0800</pubDate><description><![CDATA[单选题
1
Guido van Rossum正式对外发布Python版本的年份是：‪‬‪‬‪‬‪‬‪‬‮‬‪‬‫‬‪‬‪‬‪‬‪‬‪‬‮‬‭‬‫‬‪‬‪‬‪‬‪‬‪‬‮‬‫‬‪‬‪‬‪‬‪‬‪‬‪‬‮‬‫‬‫‬‪‬‪‬‪‬‪‬‪‬‮‬‫‬‭‬‪‬‪‬‪‬‪‬‪‬‮‬‪‬‫‬
A
1998
B
2002
C
2008
D
1991
正确答案： D
Python成功了，所以早年的开发历史也受到关注，以...]]></description><category></category></item></channel></rss>