<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[lsy__0的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/lsy__0</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; lsy__0]]></copyright><item><title><![CDATA[服务器上切换到不同目录下的anaconda3]]></title><link>https://blog.youkuaiyun.com/lsy__0/article/details/130618395</link><guid>https://blog.youkuaiyun.com/lsy__0/article/details/130618395</guid><author>lsy__0</author><pubDate>Thu, 11 May 2023 11:36:37 +0800</pubDate><description><![CDATA[3.没有/opt/anaconda3权限的用户，就可以使用用户目录下的conda安装软件了。]]></description><category></category></item><item><title><![CDATA[vscode使用Anaconda安装的python]]></title><link>https://blog.youkuaiyun.com/lsy__0/article/details/130595214</link><guid>https://blog.youkuaiyun.com/lsy__0/article/details/130595214</guid><author>lsy__0</author><pubDate>Wed, 10 May 2023 15:03:35 +0800</pubDate><description><![CDATA[vscode连接服务器开发，由于没有管理者权限，安装软件不方便，所以使用了Anaconda进行软件的安装。bash：切换到bash shell，执行conda之后会告诉Anaconda所在位置。二，然后，切换到bash shell，就会到Anaconda的base环境；选择python 3.9.12，就可以使用通过conda安装的包，numpy。单击【python版本】位置，可选择不同版本的解释器。四，vscode选择该环境下的配置就可以跑程序。三，然后可以conda install 包。]]></description><category></category></item><item><title><![CDATA[download and install jre x86 by jetbrains]]></title><link>https://blog.youkuaiyun.com/lsy__0/article/details/105432963</link><guid>https://blog.youkuaiyun.com/lsy__0/article/details/105432963</guid><author>lsy__0</author><pubDate>Fri, 10 Apr 2020 14:34:09 +0800</pubDate><description><![CDATA[安装pycharm 2018.3.2的时候，download and install jre x86 by jetbrains要不要打勾
如果之前已经配置了jre的环境可不选，
不确定的话建议选择自动安装一个jre。

]]></description><category></category></item><item><title><![CDATA[国内国外常用的数据竞赛平台名单]]></title><link>https://blog.youkuaiyun.com/lsy__0/article/details/102509094</link><guid>https://blog.youkuaiyun.com/lsy__0/article/details/102509094</guid><author>lsy__0</author><pubDate>Fri, 11 Oct 2019 19:58:19 +0800</pubDate><description><![CDATA[Kaggle：https://www.kaggle.com
	
	
	天池：https://tianchi.aliyun.com/home
	
	
	DataCastle：http://www.pkbigdata.com
	
	
	Datafountain：https://www.datafountain.cn
	
	
	Biendata：https://www.biendata.com
	
...]]></description><category></category></item><item><title><![CDATA[将python folder添加到PYTHONPATH（环境变量）]]></title><link>https://blog.youkuaiyun.com/lsy__0/article/details/102254649</link><guid>https://blog.youkuaiyun.com/lsy__0/article/details/102254649</guid><author>lsy__0</author><pubDate>Sun, 06 Oct 2019 21:35:00 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[人脸图像数据集]]></title><link>https://blog.youkuaiyun.com/lsy__0/article/details/101427770</link><guid>https://blog.youkuaiyun.com/lsy__0/article/details/101427770</guid><author>lsy__0</author><pubDate>Thu, 26 Sep 2019 10:59:16 +0800</pubDate><description><![CDATA[参考论文 ：https://ieeexplore.ieee.org/document/8768064
]]></description><category></category></item><item><title><![CDATA[HDGan]]></title><link>https://blog.youkuaiyun.com/lsy__0/article/details/101078535</link><guid>https://blog.youkuaiyun.com/lsy__0/article/details/101078535</guid><author>lsy__0</author><pubDate>Fri, 20 Sep 2019 21:34:19 +0800</pubDate><description><![CDATA[(1)datasets_basic.py:






1。bug:Memoryerror np.array(images) 

solution:原来images的长度是8855，后面只取了前面的1000个。

（2）torch_utils.py



修改后：



(3) CUDA out of memory(显存爆炸）—&gt;将batchsize由原来的10改成5





（4）

...]]></description><category></category></item><item><title><![CDATA[博客推荐]]></title><link>https://blog.youkuaiyun.com/lsy__0/article/details/101025840</link><guid>https://blog.youkuaiyun.com/lsy__0/article/details/101025840</guid><author>lsy__0</author><pubDate>Thu, 19 Sep 2019 16:02:48 +0800</pubDate><description><![CDATA[http://www.data-master.net/


]]></description><category></category></item><item><title><![CDATA[ubuntu16.04安装及深度学习环境(Pytorch)搭建]]></title><link>https://blog.youkuaiyun.com/lsy__0/article/details/101011901</link><guid>https://blog.youkuaiyun.com/lsy__0/article/details/101011901</guid><author>lsy__0</author><pubDate>Thu, 19 Sep 2019 10:02:57 +0800</pubDate><description><![CDATA[一.Ubuntu16.04安装

笔者电脑按F12选择从U盘启动，选择“install Ubuntu”，后面的操作步骤可参考这篇博客：https://blog.youkuaiyun.com/flyyufenfei/article/details/79187656。

ps:分区的划分和以太网的连接在这篇博客中没有提及。

二.显卡驱动的安装

参考这篇博客:https://www.jianshu.com/p/...]]></description><category></category></item><item><title><![CDATA[Ubuntu16.04 + 1080Ti深度学习环境配置教程]]></title><link>https://blog.youkuaiyun.com/lsy__0/article/details/98030099</link><guid>https://blog.youkuaiyun.com/lsy__0/article/details/98030099</guid><author>lsy__0</author><pubDate>Thu, 01 Aug 2019 09:35:30 +0800</pubDate><description><![CDATA[https://www.jianshu.com/p/5b708817f5d8?utm_campaign=maleskine&amp;utm_content=note&amp;utm_medium=seo_notes&amp;utm_source=recommendation
]]></description><category></category></item><item><title><![CDATA[jupyter如何打开.ipynb文件？]]></title><link>https://blog.youkuaiyun.com/lsy__0/article/details/97271906</link><guid>https://blog.youkuaiyun.com/lsy__0/article/details/97271906</guid><author>lsy__0</author><pubDate>Thu, 25 Jul 2019 16:25:39 +0800</pubDate><description><![CDATA[1.打开anaconda prompt，如图所示：



2.然后在anaconda prompt中输入jupyter notebook+文件所在目录即可。


]]></description><category></category></item><item><title><![CDATA[安装JDK以及配置Java运行环境]]></title><link>https://blog.youkuaiyun.com/lsy__0/article/details/95092257</link><guid>https://blog.youkuaiyun.com/lsy__0/article/details/95092257</guid><author>lsy__0</author><pubDate>Mon, 08 Jul 2019 19:59:40 +0800</pubDate><description><![CDATA[https://www.cnblogs.com/liu-en-ci/p/6743106.html
]]></description><category></category></item><item><title><![CDATA[win10下安装PyTorch]]></title><link>https://blog.youkuaiyun.com/lsy__0/article/details/89891340</link><guid>https://blog.youkuaiyun.com/lsy__0/article/details/89891340</guid><author>lsy__0</author><pubDate>Mon, 06 May 2019 21:21:38 +0800</pubDate><description><![CDATA[PyTorch是一种Python接口的深度学习框架，使用灵活，学习方便。还有其他主流的深度学习框架，例如Caffe，TensorFlow，CNTK等等，各有千秋。笔者认为，初期学习还是选择一种入门，不要期望全都学会。因此本王将介绍win10下PyTorch的安装方式。

一.安装Anaconda

参考安装教程：https://blog.youkuaiyun.com/ITLearnHall/article/d...]]></description><category></category></item><item><title><![CDATA[制作PPT教程]]></title><link>https://blog.youkuaiyun.com/lsy__0/article/details/89633096</link><guid>https://blog.youkuaiyun.com/lsy__0/article/details/89633096</guid><author>lsy__0</author><pubDate>Sun, 28 Apr 2019 10:34:35 +0800</pubDate><description><![CDATA[下面的链接是一个PPT教程，很实用。







链接：https://pan.baidu.com/s/1JvfOE4gk9Kk5nsW0XJIVDA
提取码：5y5x





]]></description><category></category></item></channel></rss>