<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[wuzuan的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/wuzuan</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; wuzuan]]></copyright><item><title><![CDATA[支持向量机SVM案例与调参]]></title><link>https://blog.youkuaiyun.com/wuzuan/article/details/100973650</link><guid>https://blog.youkuaiyun.com/wuzuan/article/details/100973650</guid><author>wuzuan</author><pubDate>Wed, 18 Sep 2019 10:43:17 +0800</pubDate><description><![CDATA[from sklearn.datasets import load_breast_cancer
from sklearn.svm import SVC
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
import numpy as np
from time import ti...]]></description><category></category></item><item><title><![CDATA[用Python对天气预报的数据进行数据分析]]></title><link>https://blog.youkuaiyun.com/wuzuan/article/details/100916565</link><guid>https://blog.youkuaiyun.com/wuzuan/article/details/100916565</guid><author>wuzuan</author><pubDate>Tue, 17 Sep 2019 09:46:32 +0800</pubDate><description><![CDATA[对天气数据进行抓取与分析

1、对天气数据进行抓取


import requests
from bs4 import BeautifulSoup
import pandas as pd

def getAQI(url):
    headers={
    'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWeb...]]></description><category></category></item><item><title><![CDATA[tensorflow之placeholder传入值]]></title><link>https://blog.youkuaiyun.com/wuzuan/article/details/96425768</link><guid>https://blog.youkuaiyun.com/wuzuan/article/details/96425768</guid><author>wuzuan</author><pubDate>Thu, 18 Jul 2019 10:40:07 +0800</pubDate><description><![CDATA[import tensorflow as tf

input1 = tf.placeholder(tf.float32)
input2 = tf.placeholder(tf.float32)

output = tf.multiply(input1, input2)

with tf.Session() as sess:
    print(sess.run(output, feed_dict...]]></description><category></category></item><item><title><![CDATA[tensorflow之Variable变量]]></title><link>https://blog.youkuaiyun.com/wuzuan/article/details/96424912</link><guid>https://blog.youkuaiyun.com/wuzuan/article/details/96424912</guid><author>wuzuan</author><pubDate>Thu, 18 Jul 2019 10:27:04 +0800</pubDate><description><![CDATA[import tensorflow as tf

state = tf.Variable(0, name='counter')
#print(state.name)
one = tf.constant(1)

new_value = tf.add(state, one)
update = tf.assign(state, new_value)#将new_value的值加载到state上
#必须要...]]></description><category></category></item><item><title><![CDATA[tensorflow之Session]]></title><link>https://blog.youkuaiyun.com/wuzuan/article/details/96424502</link><guid>https://blog.youkuaiyun.com/wuzuan/article/details/96424502</guid><author>wuzuan</author><pubDate>Thu, 18 Jul 2019 10:15:01 +0800</pubDate><description><![CDATA[#Session会话控制
#session执行命令，会话控制
import tensorflow as tf

matrix1 = tf.constant([[3, 3]])
matrix2 = tf.constant([[2],
                       [2]])
product = tf.matmul(matrix1, matrix2)#矩阵的乘法,在numpy中，矩阵...]]></description><category></category></item><item><title><![CDATA[神经网络(tensorflow)(1)]]></title><link>https://blog.youkuaiyun.com/wuzuan/article/details/96423906</link><guid>https://blog.youkuaiyun.com/wuzuan/article/details/96423906</guid><author>wuzuan</author><pubDate>Thu, 18 Jul 2019 09:54:26 +0800</pubDate><description><![CDATA[import tensorflow as tf
import numpy as np

#create data
x_data = np.random.rand(100).astype(np.float32)#在tensorflow中大部分的数据的数据类型都是float32
y_data = x_data * 0.1+0.3

#create tensorflow structure start...]]></description><category></category></item><item><title><![CDATA[字符串_1]]></title><link>https://blog.youkuaiyun.com/wuzuan/article/details/79304839</link><guid>https://blog.youkuaiyun.com/wuzuan/article/details/79304839</guid><author>wuzuan</author><pubDate>Sat, 10 Feb 2018 15:00:10 +0800</pubDate><description><![CDATA[对于两个字符串A，B。请设计一个高效算法，找到B在A中第一次出现的起始位置。若B未在A中出现，则返回-1。给定两个字符串A和B，及它们的长度lena和lenb，请返回题目所求的答案。测试样例：&quot;acbc&quot;,4,&quot;bc&quot;,2返回：2class StringPattern {public:    int findAppearance(string A, int lena, string B, int ...]]></description><category></category></item><item><title><![CDATA[PAT-1063(计算谱半径)]]></title><link>https://blog.youkuaiyun.com/wuzuan/article/details/77916140</link><guid>https://blog.youkuaiyun.com/wuzuan/article/details/77916140</guid><author>wuzuan</author><pubDate>Sat, 09 Sep 2017 16:43:06 +0800</pubDate><description><![CDATA[在数学中，矩阵的“谱半径”是指其特征值的模集合的上确界。换言之，对于给定的n个复数空间的特征值{a1+b1i, …, an+bni}，它们的模为实部与虚部的平方和的开方，而“谱半径”就是最大模。现在给定一些复数空间的特征值，请你计算并输出这些特征值的谱半径。输入格式：输入第一行给出正整数N（<= 10000）是输入的特征值的个数。随后N行，每行给出1个特征值的实部和虚部，其间以空格分隔。注意：题目保]]></description><category></category></item><item><title><![CDATA[PAT-1021(个位数统计)]]></title><link>https://blog.youkuaiyun.com/wuzuan/article/details/77855810</link><guid>https://blog.youkuaiyun.com/wuzuan/article/details/77855810</guid><author>wuzuan</author><pubDate>Tue, 05 Sep 2017 20:25:28 +0800</pubDate><description><![CDATA[给定一个k位整数N = dk-1*10k-1 + … + d1*101 + d0 (0<=di<=9, i=0,…,k-1, dk-1>0)，请编写程序统计每种不同的个位数字出现的次数。例如：给定N = 100311，则有2个0，3个1，和1个3。输入格式：每个输入包含1个测试用例，即一个不超过1000位的正整数N。输出格式：对N中每一种不同的个位数字，以D:M的格式在一行中输出该位数字D及其在N中]]></description><category></category></item><item><title><![CDATA[PAT-1046(划拳)]]></title><link>https://blog.youkuaiyun.com/wuzuan/article/details/77855571</link><guid>https://blog.youkuaiyun.com/wuzuan/article/details/77855571</guid><author>wuzuan</author><pubDate>Tue, 05 Sep 2017 20:07:31 +0800</pubDate><description><![CDATA[划拳是古老中国酒文化的一个有趣的组成部分。酒桌上两人划拳的方法为：每人口中喊出一个数字，同时用手比划出一个数字。如果谁比划出的数字正好等于两人喊出的数字之和，谁就赢了，输家罚一杯酒。两人同赢或两人同输则继续下一轮，直到唯一的赢家出现。下面给出甲、乙两人的划拳记录，请你统计他们最后分别喝了多少杯酒。输入格式：输入第一行先给出一个正整数N（<=100），随后N行，每行给出一轮划拳的记录，格式为：甲喊 甲]]></description><category></category></item><item><title><![CDATA[java中的JSON操作]]></title><link>https://blog.youkuaiyun.com/wuzuan/article/details/76940012</link><guid>https://blog.youkuaiyun.com/wuzuan/article/details/76940012</guid><author>wuzuan</author><pubDate>Tue, 08 Aug 2017 20:25:16 +0800</pubDate><description><![CDATA[一·、JSON简介 
        JSON是JavaScript对象表示法，是存储和交换文本信息的语法。并且独立于语言和平台。类似于xml，比xml更小、更快、更易解析。———-二、JSON对象 
        1、JSON对象在花括号中书写，对象可以包含多个名称/值对： 
                {“firstname”:”wang”,”lastname”:”hong”}]]></description><category></category></item></channel></rss>