<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[GuDoerr的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/GuDoerr</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; GuDoerr]]></copyright><item><title><![CDATA[微软商店地平线5 安装错误0x8007001f 意向不到的错误]]></title><link>https://blog.youkuaiyun.com/GuDoerr/article/details/121205419</link><guid>https://blog.youkuaiyun.com/GuDoerr/article/details/121205419</guid><author>GuDoerr</author><pubDate>Mon, 08 Nov 2021 12:38:40 +0800</pubDate><description><![CDATA[再点击安装时，打开磁盘管理器，发现有一个101G的虚拟磁盘显示脱机



由于管理员设置的策略,该磁盘处于脱机状态"解决办法


.运行：cmd
.输入：DISKPART.exe
.DISKPART&gt; san
.DISKPART&gt; san policy=onlineall
.DISKPART&gt;list disk
.DISKPART&gt; select disk 1
.DISKPART&gt;attributes disk clear readonly
.DISKPART&gt;onlin]]></description><category></category></item><item><title><![CDATA[wjx-academic-README]]></title><link>https://blog.youkuaiyun.com/GuDoerr/article/details/109632917</link><guid>https://blog.youkuaiyun.com/GuDoerr/article/details/109632917</guid><author>GuDoerr</author><pubDate>Wed, 11 Nov 2020 22:27:56 +0800</pubDate><description><![CDATA[以下为本程序的使用说明，



第一步：下载浏览器驱动

程序用的是selenium, 模拟浏览器的，所以要有你电脑上谷歌浏览器的对应版本驱动



我是86.0.4240.193版本，在下表找到对应的驱动版本，然后去网站上找对应版本下载（http://chromedriver.storage.googleapis.com/index.html），下载完成后和代码目录放在一起

chromedriver版本
			支持的Chrome版本
		v2.46
			v71-73
		v2.45
			v70-7.]]></description><category></category></item><item><title><![CDATA[成功修复NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver.]]></title><link>https://blog.youkuaiyun.com/GuDoerr/article/details/104406736</link><guid>https://blog.youkuaiyun.com/GuDoerr/article/details/104406736</guid><author>GuDoerr</author><pubDate>Thu, 20 Feb 2020 11:11:19 +0800</pubDate><description><![CDATA[Ubuntu18.04系统重装了显卡驱动后报错

NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the lat

很纳闷，驱动和cuda明明已经装好了

查看驱动


dpkg -l | grep nvidia


返回中 有 nvida -driver-43...]]></description><category></category></item><item><title><![CDATA[YOLO -V3源码注释+原理解析]]></title><link>https://blog.youkuaiyun.com/GuDoerr/article/details/104359877</link><guid>https://blog.youkuaiyun.com/GuDoerr/article/details/104359877</guid><author>GuDoerr</author><pubDate>Mon, 17 Feb 2020 16:10:48 +0800</pubDate><description><![CDATA[这是目前看到的最详细的解析，结构图画的也相当清楚
https://blog.youkuaiyun.com/leviopku/article/details/82660381



这是代码的详细注释，也是看到比较全的：
https://blog.youkuaiyun.com/qq_34199326/article/details/84072505



这是仓库：https://github.com/ayooshka...]]></description><category></category></item><item><title><![CDATA[pytorch入门二：MNIST手写数字网络的代码封装与可视化]]></title><link>https://blog.youkuaiyun.com/GuDoerr/article/details/104329628</link><guid>https://blog.youkuaiyun.com/GuDoerr/article/details/104329628</guid><author>GuDoerr</author><pubDate>Sat, 15 Feb 2020 17:29:26 +0800</pubDate><description><![CDATA[参考：

https://zhuanlan.zhihu.com/p/29024978

https://blog.youkuaiyun.com/xuan_liu123/article/details/89105997
...]]></description><category></category></item><item><title><![CDATA[Pytorch工具：用visdom可视化loss]]></title><link>https://blog.youkuaiyun.com/GuDoerr/article/details/104300574</link><guid>https://blog.youkuaiyun.com/GuDoerr/article/details/104300574</guid><author>GuDoerr</author><pubDate>Thu, 13 Feb 2020 23:09:12 +0800</pubDate><description><![CDATA[目录


1.安装

2 启动

3 示例

4.深度学习损失可视化

5 结果


1.安装


pip install visdom

因为使用代理，突然报错 ERROR: Could not install packages due to an EnvironmentError: Missing dependencies for SOCKS support.


unset all_pro...]]></description><category></category></item><item><title><![CDATA[Pytorch入门一：卷积神经网络实现MNIST手写数字识别]]></title><link>https://blog.youkuaiyun.com/GuDoerr/article/details/104294667</link><guid>https://blog.youkuaiyun.com/GuDoerr/article/details/104294667</guid><author>GuDoerr</author><pubDate>Thu, 13 Feb 2020 17:28:59 +0800</pubDate><description><![CDATA[1. pytorch介绍

Pytorch是Torch7团队开发的，与Torch的不同之处在于Pytorch使用了Python作为开发语言，同样说明它是一个以Python优先的深度学习框架，它不仅能够实现强大的GPU加速，同时还支持动态神经网络，这是TensorFlow等很多主流框架不支持的。而且Pytorch可以轻松扩展，近两年有赶超TensorFlow的势头

Pytorch中有两种变量类型，...]]></description><category></category></item></channel></rss>