<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[wangdan113269的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/wangdan113269</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; wangdan113269]]></copyright><item><title><![CDATA[anaconda虚拟环境下出现Original error was: DLL load failed: 找不到指定的模块。]]></title><link>https://blog.youkuaiyun.com/wangdan113269/article/details/127765191</link><guid>https://blog.youkuaiyun.com/wangdan113269/article/details/127765191</guid><author>wangdan113269</author><pubDate>Wed, 09 Nov 2022 10:48:14 +0800</pubDate><description><![CDATA[pycharm使用技巧]]></description><category></category></item><item><title><![CDATA[在colab上运行gym的example时候，出现NameError: name ‘base‘ is not defined]]></title><link>https://blog.youkuaiyun.com/wangdan113269/article/details/115030143</link><guid>https://blog.youkuaiyun.com/wangdan113269/article/details/115030143</guid><author>wangdan113269</author><pubDate>Sat, 20 Mar 2021 16:36:58 +0800</pubDate><description><![CDATA[解决办法：


!apt install xvfb -y
!pip install pyvirtualdisplay
!pip install piglet




import gym
import numpy as np
import matplotlib.pyplot as plt
from IPython import display as ipythondisplay
from pyvirtualdisplay import Display

display = Display(visible=0]]></description><category></category></item><item><title><![CDATA[远程连接服务器的jupyter notebook]]></title><link>https://blog.youkuaiyun.com/wangdan113269/article/details/88994792</link><guid>https://blog.youkuaiyun.com/wangdan113269/article/details/88994792</guid><author>wangdan113269</author><pubDate>Wed, 03 Apr 2019 14:48:56 +0800</pubDate><description><![CDATA[1、下载jupyternotebook。我直接在服务器上安装了anaconda，里面包含jupyternotebook

2、生成密钥

$ ipython

from notebook.auth import passwd

passwd()

输入密码会生成密钥



把密钥复制下来。

3、生成配置文件

$ jupyter notebook --generate-config

根据提...]]></description><category></category></item><item><title><![CDATA[实验室服务器安装anaconda和tensorflow]]></title><link>https://blog.youkuaiyun.com/wangdan113269/article/details/87977779</link><guid>https://blog.youkuaiyun.com/wangdan113269/article/details/87977779</guid><author>wangdan113269</author><pubDate>Wed, 27 Feb 2019 18:53:58 +0800</pubDate><description><![CDATA[实验室的服务器上已经安装好了cuda和cudnn，这个操作我并不清楚，这里就忽略不说了。



下载anaconda

wget https://repo.continuum.io/archive/Anaconda3-5.1.0-Linux-x86_64.sh #64位系统

然后

bashAnaconda3-5.1.0-Linux-x86_64.sh

之后按照提示输入enter或者yes...]]></description><category></category></item><item><title><![CDATA[服务器安装pip]]></title><link>https://blog.youkuaiyun.com/wangdan113269/article/details/87973321</link><guid>https://blog.youkuaiyun.com/wangdan113269/article/details/87973321</guid><author>wangdan113269</author><pubDate>Wed, 27 Feb 2019 15:13:05 +0800</pubDate><description><![CDATA[实验室的服务器已经有Python3.5版本，但是没有pip

下载pip时出现ERRO 403: SSL is required

解决办法如下：首先进入Python所在的文件夹

执行命令：wget https://bootstrap.pypa.io/get-pip.py --no-check-certificate

会下载get-pip.py文件

然后执行: python3 get-pip...]]></description><category></category></item><item><title><![CDATA[Python的matplotlib绘图如何修改背景颜色]]></title><link>https://blog.youkuaiyun.com/wangdan113269/article/details/82888148</link><guid>https://blog.youkuaiyun.com/wangdan113269/article/details/82888148</guid><author>wangdan113269</author><pubDate>Fri, 28 Sep 2018 18:12:28 +0800</pubDate><description><![CDATA[在主图中背景颜色不知道怎么改，plt.plot()中没有axisbg参数。

但是子图可以对plt.subplot的参数做修改，下面是对子图的背景颜色修改代码


import matplotlib.pyplot as plt
import numpy as np

# Fixing random state for reproducibility
np.random.seed(19680801)...]]></description><category></category></item><item><title><![CDATA[kafka用到的一些命令]]></title><link>https://blog.youkuaiyun.com/wangdan113269/article/details/82117132</link><guid>https://blog.youkuaiyun.com/wangdan113269/article/details/82117132</guid><author>wangdan113269</author><pubDate>Mon, 27 Aug 2018 20:21:40 +0800</pubDate><description><![CDATA[1、启动zookeeper。cd到zookeeper的文件夹

./bin/zkServer.sh start

2、启动kafka   cd到kafka的文件夹

./bin/kafka-server-start.sh ./config/server.properties

3、查看是否都成功启动

source /etc/profile 先把java的运行环境加入环境变量

jps



4、...]]></description><category></category></item><item><title><![CDATA[tensorflow中input_data读取本地MNIST_data失败的原因]]></title><link>https://blog.youkuaiyun.com/wangdan113269/article/details/81701145</link><guid>https://blog.youkuaiyun.com/wangdan113269/article/details/81701145</guid><author>wangdan113269</author><pubDate>Sat, 25 Aug 2018 10:06:10 +0800</pubDate><description><![CDATA[下载了MNIST_data保存在本地，一定不要解压！不要解压！不要解压！因为input_data.read_data_sets读取的是压缩包


import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
input_data.read_data_sets(&quot;/home/wd/MNIST_da...]]></description><category></category></item><item><title><![CDATA[Anaconda安装kafka在当前channels找不到包]]></title><link>https://blog.youkuaiyun.com/wangdan113269/article/details/82048422</link><guid>https://blog.youkuaiyun.com/wangdan113269/article/details/82048422</guid><author>wangdan113269</author><pubDate>Sat, 25 Aug 2018 10:02:01 +0800</pubDate><description><![CDATA[虚拟机下的ubuntu，安装了Anaconda，Python版本是3.6.5，anaconda已经自带了很多包，包括setuptools和six，要下载kafka直接在终端输入

conda install kafka-python

但是结果报错



在当前的channels找不到包

在终端输入 anaconda search -t conda kafka-python
找到的结果如下


...]]></description><category></category></item><item><title><![CDATA[Python零零碎碎的学习笔记]]></title><link>https://blog.youkuaiyun.com/wangdan113269/article/details/81914890</link><guid>https://blog.youkuaiyun.com/wangdan113269/article/details/81914890</guid><author>wangdan113269</author><pubDate>Wed, 22 Aug 2018 21:47:42 +0800</pubDate><description><![CDATA[sys.argv  是一个列表，存储的是程序调用的参数，sys.argv[0]是程序本身的名字

比如保存一个hello.py的文件

文件内容为



在命令行中运行 python hello.py 1 2

输出结果为



===================================================================================

...]]></description><category></category></item><item><title><![CDATA[Tensorflow的运作方式入门]]></title><link>https://blog.youkuaiyun.com/wangdan113269/article/details/81745851</link><guid>https://blog.youkuaiyun.com/wangdan113269/article/details/81745851</guid><author>wangdan113269</author><pubDate>Thu, 16 Aug 2018 17:34:46 +0800</pubDate><description><![CDATA[http://wiki.jikexueyuan.com/project/tensorflow-zh/tutorials/mnist_tf.html

在ubuntu中，复制fully_connect_feed.py代码并保存成py格式的文件，下载好MNIST数据集，将代码中的run_training函数里data_sets = input_data.read_data_sets(FLAGS.tra...]]></description><category></category></item><item><title><![CDATA[深入MNIST的code]]></title><link>https://blog.youkuaiyun.com/wangdan113269/article/details/81711349</link><guid>https://blog.youkuaiyun.com/wangdan113269/article/details/81711349</guid><author>wangdan113269</author><pubDate>Wed, 15 Aug 2018 21:20:17 +0800</pubDate><description><![CDATA[
import tensorflow.examples.tutorials.mnist.input_data as input_data

import tensorflow as tf

mnist = input_data.read_data_sets(&quot;/home/wd/MNIST_data/&quot;, one_hot=True)

sess = tf.InteractiveSession()

...]]></description><category></category></item><item><title><![CDATA[tensorflow读取本地MNITS_data失败的原因]]></title><link>https://blog.youkuaiyun.com/wangdan113269/article/details/81701221</link><guid>https://blog.youkuaiyun.com/wangdan113269/article/details/81701221</guid><author>wangdan113269</author><pubDate>Wed, 15 Aug 2018 11:28:34 +0800</pubDate><description><![CDATA[MNITS_data 下载保存在本地，一定不要解压！不要解压！不要解压！因为input_data读取的是压缩包


&amp;gt;&amp;gt;&amp;gt;import tensorflow as tf
&amp;gt;&amp;gt;&amp;gt;from tensorflow.examples.tutorials.mnist import input_data
&amp;gt;&amp;gt;&amp;gt;input_data.read_data_st...]]></description><category></category></item><item><title><![CDATA[虚拟机下Ubuntu安装VMware Tools的方法]]></title><link>https://blog.youkuaiyun.com/wangdan113269/article/details/80577231</link><guid>https://blog.youkuaiyun.com/wangdan113269/article/details/80577231</guid><author>wangdan113269</author><pubDate>Tue, 05 Jun 2018 10:10:15 +0800</pubDate><description><![CDATA[转自https://blog.youkuaiyun.com/bluewindwater/article/details/51896346首先说明下我的环境：Ubuntu16.04,VMware14,Windows 10 64bit安装步骤：  一. 确定两系统之间可以实现数据的正确传输，可以在windows7系统的cmd命令行下执行ping命令，同样可以在Ubuntu的终端里执行相应的ping命令（注意：这里...]]></description><category></category></item><item><title><![CDATA[Jupyter notebook如何打开数据集]]></title><link>https://blog.youkuaiyun.com/wangdan113269/article/details/79609248</link><guid>https://blog.youkuaiyun.com/wangdan113269/article/details/79609248</guid><author>wangdan113269</author><pubDate>Mon, 19 Mar 2018 11:27:07 +0800</pubDate><description><![CDATA[Jupyter notebook只能打开当前目录下的数据集（txt、CSV等），所以需要把数据集倒导入到当前目录下，导入的方法是Upload，但是这样导入文件的大小是由限制的，当数据集太大，该怎么导入呢？简单粗暴的方法就是直接把数据集拷贝到Jupyter notebook的目录下，如果不知道Jupyter notebook的默认目录怎么办？那就修改它的目录，修改方法见 https://www.zh...]]></description><category></category></item><item><title><![CDATA[win10 64位 安装TensorFlow]]></title><link>https://blog.youkuaiyun.com/wangdan113269/article/details/79600796</link><guid>https://blog.youkuaiyun.com/wangdan113269/article/details/79600796</guid><author>wangdan113269</author><pubDate>Sun, 18 Mar 2018 15:08:11 +0800</pubDate><description><![CDATA[原地址.由于之前安装的是python2.7 ，tensorflow在windows下必须要python3 网上查了一下有三种方法2版本共存1.不用Anaconda windows 安装python2 与python3 共存2. 用Anaconda更方便：        win7 64位下安装多版本的python及tensorflow安装        http://blog.youkuaiyun.com/in...]]></description><category></category></item><item><title><![CDATA[用pip install ipython出现ascii编码错误]]></title><link>https://blog.youkuaiyun.com/wangdan113269/article/details/79589264</link><guid>https://blog.youkuaiyun.com/wangdan113269/article/details/79589264</guid><author>wangdan113269</author><pubDate>Sat, 17 Mar 2018 10:10:20 +0800</pubDate><description><![CDATA[用的python版本是2.7 ，安装环境是windows10，python2.7自带pip，使用pip install ipython总出现UnicodeDecodeError: 'ascii' codec can't decode …………这种问题是因为用户名目录包含中文，在CMD下出现的 如C:\Users\王小明&amp;gt;于是修改管理员用户名为英文，网上说在运行中打开gpedit.msc，但是...]]></description><category></category></item></channel></rss>