<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[l2l666的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/l2l666</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; l2l666]]></copyright><item><title><![CDATA[安装pyhrv包]]></title><link>https://blog.youkuaiyun.com/l2l666/article/details/117754662</link><guid>https://blog.youkuaiyun.com/l2l666/article/details/117754662</guid><author>l2l666</author><pubDate>Wed, 09 Jun 2021 21:24:07 +0800</pubDate><description><![CDATA[安装pyhrv报错：error: Microsoft Visual C++ 14.0 is required
解决方法：安装visual studio C++ build tools
安装时报错：提示安装包visual studio C++ build tools丢失或毁坏
解决方法：https://blog.youkuaiyun.com/Zhou_Yulong/article/details/117264550

...]]></description><category></category></item><item><title><![CDATA[pytorch安装教程]]></title><link>https://blog.youkuaiyun.com/l2l666/article/details/115319276</link><guid>https://blog.youkuaiyun.com/l2l666/article/details/115319276</guid><author>l2l666</author><pubDate>Tue, 30 Mar 2021 10:28:00 +0800</pubDate><description><![CDATA[踩坑无数，最终按这个方法安装成功
参考：https://blog.youkuaiyun.com/weixin_40431584/article/details/105119633

]]></description><category></category></item><item><title><![CDATA[Ubuntu安装anaconda+tensorflow]]></title><link>https://blog.youkuaiyun.com/l2l666/article/details/107399655</link><guid>https://blog.youkuaiyun.com/l2l666/article/details/107399655</guid><author>l2l666</author><pubDate>Fri, 17 Jul 2020 08:09:27 +0800</pubDate><description><![CDATA[1、安装anaconda（python 3.7）
anaconda镜像网站下载.sh文件
https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/
打开终端，进入下载文件所在路径安装anaconda
根据提示输入回车和yes
cd Downloads
sh ./Anaconda3-2020.02-Linux-x86_64.sh

2、测试anaconda是否安装成功
python#会显示python版本
import numpy#不出错就是安装成功

3、]]></description><category></category></item><item><title><![CDATA[安装stopwords]]></title><link>https://blog.youkuaiyun.com/l2l666/article/details/107235567</link><guid>https://blog.youkuaiyun.com/l2l666/article/details/107235567</guid><author>l2l666</author><pubDate>Thu, 09 Jul 2020 19:00:13 +0800</pubDate><description><![CDATA[下载stopwords.zip
安装路径：tensorflow环境下


]]></description><category></category></item><item><title><![CDATA[安装dlib和face_recognition]]></title><link>https://blog.youkuaiyun.com/l2l666/article/details/107034848</link><guid>https://blog.youkuaiyun.com/l2l666/article/details/107034848</guid><author>l2l666</author><pubDate>Tue, 30 Jun 2020 10:14:01 +0800</pubDate><description><![CDATA[1、在anaconda中安装cmake和boost
2、下载dlib的whl文件
链接：https://pan.baidu.com/s/1mbRLILd0iKOFStVuZTY8mg
提取码：pj31
3、使用命令pip install dlib-19.17.99-cp37-cp37m-win_amd64.whl
会出现一个路径

4、把whl文件放到这个路径下，再次执行这个命令，dlib安装成功
5、使用命令pip install face_recognition，face_recognition安装成功]]></description><category></category></item><item><title><![CDATA[tensorflow2实现inception网络]]></title><link>https://blog.youkuaiyun.com/l2l666/article/details/106225020</link><guid>https://blog.youkuaiyun.com/l2l666/article/details/106225020</guid><author>l2l666</author><pubDate>Tue, 19 May 2020 23:08:31 +0800</pubDate><description><![CDATA[inception网络
网络结构：

1、导入相关包
import tensorflow as tf
import numpy as np
from matplotlib import pyplot as plt
from tensorflow.keras.layers import Conv2D, BatchNormalization, Activation, MaxPool2D, Dropout, Flatten, Dense, \
    GlobalAveragePooling2D
from ten]]></description><category></category></item><item><title><![CDATA[tensorflow2实现LeNet-5网络]]></title><link>https://blog.youkuaiyun.com/l2l666/article/details/106224623</link><guid>https://blog.youkuaiyun.com/l2l666/article/details/106224623</guid><author>l2l666</author><pubDate>Tue, 19 May 2020 22:41:28 +0800</pubDate><description><![CDATA[利用lenet网络实现图片分类
1、导入相关包
import tensorflow as tf
from tensorflow import keras
import numpy as np
import matplotlib.pyplot as plt

2、获取数据集并作预处理
fashion_mnist = tf.keras.datasets.fashion_mnist
(train_images,train_labels),(test_images,test_labels) = fashion_mn]]></description><category></category></item><item><title><![CDATA[图像基本分类问题（TensorFlow2）]]></title><link>https://blog.youkuaiyun.com/l2l666/article/details/105773204</link><guid>https://blog.youkuaiyun.com/l2l666/article/details/105773204</guid><author>l2l666</author><pubDate>Sun, 26 Apr 2020 17:23:52 +0800</pubDate><description><![CDATA[利用TensorFlow进行Fashion MNIST数据集的基本分类问题
图像标签及对应的类别




label
class




0
T-shirt/top（T-恤）


1
Trouser （裤子）


2
Pullover （套衫）


3
Dress（连衣裙）


4
Coat（大衣）


5
Sandal （凉鞋）


6
Skirt（衬衫）


7
Sneaker（运动鞋）


...]]></description><category></category></item><item><title><![CDATA[tensorflow极简安装]]></title><link>https://blog.youkuaiyun.com/l2l666/article/details/105619584</link><guid>https://blog.youkuaiyun.com/l2l666/article/details/105619584</guid><author>l2l666</author><pubDate>Sun, 26 Apr 2020 16:39:49 +0800</pubDate><description><![CDATA[一、下载安装anaconda
官网下载：https://www.anaconda.com/distribution/#download-section
如果官网上下载太慢，可以在开源软件镜像站下载，清华大学开源软件镜像站地址：https://mirror.tuna.tsinghua.edu.cn/help/anaconda/
安装时两个选项全部勾选

查看python路径：

二、下载安装pych...]]></description><category></category></item><item><title><![CDATA[Java连接数据库]]></title><link>https://blog.youkuaiyun.com/l2l666/article/details/105308501</link><guid>https://blog.youkuaiyun.com/l2l666/article/details/105308501</guid><author>l2l666</author><pubDate>Sat, 04 Apr 2020 16:27:39 +0800</pubDate><description><![CDATA[一、Java连接MySQL数据库
下载驱动包

下载后得到一个deb文件，用归档管理器打开，找到名为mysql-connector-java-8.0.19.jar的文件

先创建一个项目，然后在项目中新建一个文件夹lib，将上面那个jar包复制粘贴进lib文件夹中，然后打开eclipse，将jar包Add To Build Path。

成功后会在Referenced Libraries中看见此a...]]></description><category></category></item><item><title><![CDATA[Ubuntu]]></title><link>https://blog.youkuaiyun.com/l2l666/article/details/104884154</link><guid>https://blog.youkuaiyun.com/l2l666/article/details/104884154</guid><author>l2l666</author><pubDate>Sun, 15 Mar 2020 20:14:41 +0800</pubDate><description><![CDATA[virtualbox安装Ubuntu
Hadoop学习指南
Hadoop安装教程_单机/伪分布式配置_Hadoop2.6.0(2.7.1)/Ubuntu14.04(16.04)
启动Hadoop后不出现namenode 或者datanode 的解决办法 ： 删除/usr/local/hadoop/tmp/dfs/data下的所有文件，并重新格式化hdfs namenode –format，启动st...]]></description><category></category></item></channel></rss>