<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[one0_opiece的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/one0_opiece</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; one0_opiece]]></copyright><item><title><![CDATA[招行 FinTech 学习笔记-Keras]]></title><link>https://blog.youkuaiyun.com/one0_opiece/article/details/89402322</link><guid>https://blog.youkuaiyun.com/one0_opiece/article/details/89402322</guid><author>one0_opiece</author><pubDate>Fri, 19 Apr 2019 17:05:17 +0800</pubDate><description><![CDATA[Keras 中的卷积层

参考引用：Udacity


from keras.layers import Conv2D
Conv2D(filters, kernel_size, strides, padding, activation='relu', input_shape)


参数

必须传递以下参数：

filters- 过滤器数量。
	kernel_size- 指定（方形）卷积窗口的高...]]></description><category></category></item><item><title><![CDATA[给定一个字符串 s，找到 s 中最长的回文子串。你可以假设 s 的最大长度为 1000。]]></title><link>https://blog.youkuaiyun.com/one0_opiece/article/details/87937103</link><guid>https://blog.youkuaiyun.com/one0_opiece/article/details/87937103</guid><author>one0_opiece</author><pubDate>Tue, 26 Feb 2019 16:09:38 +0800</pubDate><description><![CDATA[leetcode No.5

给定一个字符串 s，找到 s 中最长的回文子串。你可以假设 s 的最大长度为 1000。

示例 1：


输入: &quot;babad&quot;
输出: &quot;bab&quot;
注意: &quot;aba&quot; 也是一个有效答案。


// leetcode.cpp : 此文件包含 &quot;main&quot; 函数。程序执行将在此处开始并结束。
//

#include &amp;lt;iostream&amp;gt;
#include...]]></description><category></category></item><item><title><![CDATA[Win下部署anaconda3,tensorflow-gpu,cuda9.0,cudnn7.3]]></title><link>https://blog.youkuaiyun.com/one0_opiece/article/details/84100491</link><guid>https://blog.youkuaiyun.com/one0_opiece/article/details/84100491</guid><author>one0_opiece</author><pubDate>Thu, 15 Nov 2018 13:56:47 +0800</pubDate><description><![CDATA[Win下部署：参考https://www.cnblogs.com/guoyaohua/p/9265268.html
安装anaconda3 以及 git
1.创建conda环境
通过调用下列命令，创建一个名为“tensorflow”的conda环境：
conda create -n tensorflow pip python=3.6
2.激活环境
通过以下命令激活conda环境：
activate...]]></description><category></category></item><item><title><![CDATA[在CMD中fatal error C1083，无法打开包括文件:“assert.h”: No such file or directory]]></title><link>https://blog.youkuaiyun.com/one0_opiece/article/details/84032730</link><guid>https://blog.youkuaiyun.com/one0_opiece/article/details/84032730</guid><author>one0_opiece</author><pubDate>Tue, 13 Nov 2018 17:38:16 +0800</pubDate><description><![CDATA[fatal error C1083: 无法打开包括文件:“assert.h”: No such file or directory



在c盘中通过搜索找到你assert.h所在的文件夹，然后将路径加入临时环境变量：

我的在C:\Program Files (x86)\Windows Kits\10\Include\10.0.17134.0\ucrt故输入：

set include=C:\P...]]></description><category></category></item><item><title><![CDATA[win10下PESQ编译]]></title><link>https://blog.youkuaiyun.com/one0_opiece/article/details/83994620</link><guid>https://blog.youkuaiyun.com/one0_opiece/article/details/83994620</guid><author>one0_opiece</author><pubDate>Mon, 12 Nov 2018 17:34:36 +0800</pubDate><description><![CDATA[在win10里面完成PESQ文件的编译，开始看到优快云有.exe文件下载，特别高兴点进去，发现自己木有积分。。。看来还得靠自己，以此记录编译过程，希望能帮到同样苦于没有积分的你。当然，土豪请直接点开下载链接：

PESQ.exe文件下载地址：https://download.youkuaiyun.com/download/one0_opiece/10780260

好了，和我一样的穷苦百姓接着往下看吧。。。...]]></description><category></category></item><item><title><![CDATA[windows 下可以为 git 设置代理]]></title><link>https://blog.youkuaiyun.com/one0_opiece/article/details/83987300</link><guid>https://blog.youkuaiyun.com/one0_opiece/article/details/83987300</guid><author>one0_opiece</author><pubDate>Mon, 12 Nov 2018 09:57:48 +0800</pubDate><description><![CDATA[解决无法使用depot_tools的fetch下载问题： 

unable to access 'https://chromium.googlesource.com/chromium/src.git/': Failed to connect to 127.0.0.1 port 8118: Connection refused

https://stackoverflow.com/questions...]]></description><category></category></item><item><title><![CDATA[win10安装depot_tools]]></title><link>https://blog.youkuaiyun.com/one0_opiece/article/details/83901541</link><guid>https://blog.youkuaiyun.com/one0_opiece/article/details/83901541</guid><author>one0_opiece</author><pubDate>Fri, 09 Nov 2018 18:02:51 +0800</pubDate><description><![CDATA[装了半天，吐血了，记录下来希望能帮到点进来看的大家

https://commondatastorage.googleapis.com/chrome-infra-docs/flat/depot_tools/docs/html/depot_tools_tutorial.html#_setting_up

在这里下载depot_tools包，根据步骤，记得加入环境变量

 C:\workspace\d...]]></description><category></category></item><item><title><![CDATA[远程登陆服务器]]></title><link>https://blog.youkuaiyun.com/one0_opiece/article/details/83898031</link><guid>https://blog.youkuaiyun.com/one0_opiece/article/details/83898031</guid><author>one0_opiece</author><pubDate>Fri, 09 Nov 2018 15:07:07 +0800</pubDate><description><![CDATA[直接用窗口键[win]+R  运行对话框输入mstsc.exe]]></description><category></category></item><item><title><![CDATA[Code::blocks建立ffmpeg调试环境]]></title><link>https://blog.youkuaiyun.com/one0_opiece/article/details/83863609</link><guid>https://blog.youkuaiyun.com/one0_opiece/article/details/83863609</guid><author>one0_opiece</author><pubDate>Thu, 08 Nov 2018 16:34:07 +0800</pubDate><description><![CDATA[文章链接 http://www.bubuko.com/infodetail-707098.html]]></description><category></category></item><item><title><![CDATA[求.wav.mp3音频里一分钟平均响度(分贝)，存在csv中]]></title><link>https://blog.youkuaiyun.com/one0_opiece/article/details/83824540</link><guid>https://blog.youkuaiyun.com/one0_opiece/article/details/83824540</guid><author>one0_opiece</author><pubDate>Wed, 07 Nov 2018 15:38:17 +0800</pubDate><description><![CDATA[环境需要有包pudub，ffmpeg，pyaudio
并下载ffmpeg 放在文件目录中，url：https://ffmpeg.zeranoe.com/builds


import wave
import math
import pyaudio
import numpy
import pandas as pd
import os
from pydub import AudioSegment

#...]]></description><category></category></item><item><title><![CDATA[提取一个目录下所有CSV文件的同一列入新的CSV中]]></title><link>https://blog.youkuaiyun.com/one0_opiece/article/details/83819946</link><guid>https://blog.youkuaiyun.com/one0_opiece/article/details/83819946</guid><author>one0_opiece</author><pubDate>Wed, 07 Nov 2018 11:06:33 +0800</pubDate><description><![CDATA[提取一个文件中的所有csv文件的指定列与行的数据，存储在dataframe格式中，最后把获取数据统一写入该文件路径下的result.csv中


import csv
import os
import pandas as pd

#处理函数
def file_name(file_dir):
    L=[]
    #取文件名，并存在L中
    name = os.path.splitext(f...]]></description><category></category></item><item><title><![CDATA[转：linux解压命令]]></title><link>https://blog.youkuaiyun.com/one0_opiece/article/details/83376275</link><guid>https://blog.youkuaiyun.com/one0_opiece/article/details/83376275</guid><author>one0_opiece</author><pubDate>Thu, 25 Oct 2018 10:56:02 +0800</pubDate><description><![CDATA[Linux下如何解压.zip和.rar文件，对于Window下的常见压缩文件.zip和.rar，Linux也有相应的方法来解压它们：

 1)对于zip linux下提供了zip和unzip程序，zip是压缩程序，unzip是解压程序。它们的参数选项很多，这里只做简单介绍，举例说明一下其用法：

 # zip all.zip *.jpg 这条命令是将所有.jpg的文件压缩成一个zip包

# un...]]></description><category></category></item><item><title><![CDATA[头条2018年面试题 求数组序列中最小值乘区间数之和的最大值。]]></title><link>https://blog.youkuaiyun.com/one0_opiece/article/details/83346643</link><guid>https://blog.youkuaiyun.com/one0_opiece/article/details/83346643</guid><author>one0_opiece</author><pubDate>Wed, 24 Oct 2018 16:49:31 +0800</pubDate><description><![CDATA[给定一个数组序列, 需要求选出一个区间, 使得该区间是所有区间中经过如下计算的值最大的一个：

区间中的最小数 * 区间所有数的和最后程序输出经过计算后的最大值即可，不需要输出具体的区间。如给定序列  [6 2 1]则根据上述公式, 可得到所有可以选定各个区间的计算值:

 

[6] = 6 * 6 = 36;

[2] = 2 * 2 = 4;

[1] = 1 * 1 = 1;

[6,2]...]]></description><category></category></item><item><title><![CDATA[今日头条2018笔试题1 二维平面最大整数点集]]></title><link>https://blog.youkuaiyun.com/one0_opiece/article/details/83345655</link><guid>https://blog.youkuaiyun.com/one0_opiece/article/details/83345655</guid><author>one0_opiece</author><pubDate>Wed, 24 Oct 2018 16:10:52 +0800</pubDate><description><![CDATA[题目

P为给定的二维平面整数点集。定义 P 中某点x，如果x满足 P 中任意点都不在 x 的右上方区域内（横纵坐标都大于x），则称其为“最大的”。求出所有“最大的”点的集合。（所有点的横坐标和纵坐标都不重复, 坐标轴范围在[0, 1e9) 内）

如下图：实心点为满足条件的点的集合。请实现代码找到集合 P 中的所有 ”最大“ 点的集合并输出。



输入描述:

第一行输入点集的个数 N， 接下...]]></description><category></category></item><item><title><![CDATA[神经网络的注意事项]]></title><link>https://blog.youkuaiyun.com/one0_opiece/article/details/79691148</link><guid>https://blog.youkuaiyun.com/one0_opiece/article/details/79691148</guid><author>one0_opiece</author><pubDate>Sun, 25 Mar 2018 21:47:37 +0800</pubDate><description><![CDATA[1.给预测值赋值时需要对预测值集合设置大小，否则会有Index错误    predictions = np.zeros((1,A2.shape[1]))2.编写画图plt.scatter时，python3中的c值赋值问题        c=np.squeeze( 你想现实的数据）        否则c of shape (1, 400) not acceptable的错误     numpy.sq...]]></description><category></category></item><item><title><![CDATA[leetcode之add two numbers]]></title><link>https://blog.youkuaiyun.com/one0_opiece/article/details/79437193</link><guid>https://blog.youkuaiyun.com/one0_opiece/article/details/79437193</guid><author>one0_opiece</author><pubDate>Sun, 04 Mar 2018 21:41:08 +0800</pubDate><description><![CDATA[开始使用最简单粗暴的把链表转成数字计算，但是提交不成功，如果数据太大会溢出。class Solution {public:    long toint(ListNode * l){        long sum = 0;        long temp = 1;        while(l != NULL){            sum = sum + l-&amp;gt;val * temp; ...]]></description><category></category></item><item><title><![CDATA[python之tf.layers.conv2d与tf.nn.conv2d]]></title><link>https://blog.youkuaiyun.com/one0_opiece/article/details/79162551</link><guid>https://blog.youkuaiyun.com/one0_opiece/article/details/79162551</guid><author>one0_opiece</author><pubDate>Thu, 25 Jan 2018 15:36:48 +0800</pubDate><description><![CDATA[tf.layers.conv2d与tf.nn.conv2d的参数列表对比：

tf.layers.conv2d
			tf.nn.conv2d
		
			tf.layers.conv2d(inputs, filters, kernel_size, strides=(1,1), 

			padding='valid',data_format='channels_last', 

			dilat...]]></description><category></category></item><item><title><![CDATA[python之tf.reduce语句mean（）max()]]></title><link>https://blog.youkuaiyun.com/one0_opiece/article/details/79155162</link><guid>https://blog.youkuaiyun.com/one0_opiece/article/details/79155162</guid><author>one0_opiece</author><pubDate>Wed, 24 Jan 2018 20:24:40 +0800</pubDate><description><![CDATA[一，tensorflow中有一类在tensor的某一维度上求值的函数。如：

求最大值tf.reduce_max(input_tensor, reduction_indices=None, keep_dims=False, name=None)

求平均值tf.reduce_mean(input_tensor, reduction_indices=None, keep_dims=False]]></description><category></category></item></channel></rss>