<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[explorer5568的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/explorer5568</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; explorer5568]]></copyright><item><title><![CDATA[设置Typora或者Markdown中字体颜色以及大小样式]]></title><link>https://blog.youkuaiyun.com/explorer5568/article/details/135058017</link><guid>https://blog.youkuaiyun.com/explorer5568/article/details/135058017</guid><author>explorer5568</author><pubDate>Mon, 18 Dec 2023 11:43:22 +0800</pubDate><description><![CDATA[设置Typora中字体颜色以及大小样式设置]]></description><category></category></item><item><title><![CDATA[pycharm连接远程ssh服务器，Ctrl+S不能自动上传代码]]></title><link>https://blog.youkuaiyun.com/explorer5568/article/details/132393196</link><guid>https://blog.youkuaiyun.com/explorer5568/article/details/132393196</guid><author>explorer5568</author><pubDate>Sun, 20 Aug 2023 16:36:30 +0800</pubDate><description><![CDATA[本来这样操作就行了，但是笔者有时设置成按Ctrl+S进行保存，按Ctrl+S之后发现并不能进行同步，还是需要手动upload上去。最后发现，笔者的原因是。，因此笔者后面将默认的sftp连接设置成希望的sftp连接，问题就直接解决了。]]></description><category></category></item><item><title><![CDATA[Python调用sort函数自定义排序函数]]></title><link>https://blog.youkuaiyun.com/explorer5568/article/details/132391848</link><guid>https://blog.youkuaiyun.com/explorer5568/article/details/132391848</guid><author>explorer5568</author><pubDate>Sun, 20 Aug 2023 14:58:51 +0800</pubDate><description><![CDATA[当有一组比较复杂的对象需要进行排序时，我们的第一想法就是尽量利用已有的函数快速完成自己的排序需求]]></description><category></category></item><item><title><![CDATA[代码实现sinkhorn算法]]></title><link>https://blog.youkuaiyun.com/explorer5568/article/details/132044862</link><guid>https://blog.youkuaiyun.com/explorer5568/article/details/132044862</guid><author>explorer5568</author><pubDate>Tue, 01 Aug 2023 16:45:35 +0800</pubDate><description><![CDATA[sinkhorn算法的代码实现]]></description><category></category></item><item><title><![CDATA[Sinkhorn算法公式推导]]></title><link>https://blog.youkuaiyun.com/explorer5568/article/details/131946779</link><guid>https://blog.youkuaiyun.com/explorer5568/article/details/131946779</guid><author>explorer5568</author><pubDate>Wed, 26 Jul 2023 20:07:12 +0800</pubDate><description><![CDATA[最优传输中的sinkhorn算法推导]]></description><category></category></item><item><title><![CDATA[拉格朗日乘子法(Lagrange Multipliers)学习笔记]]></title><link>https://blog.youkuaiyun.com/explorer5568/article/details/131936331</link><guid>https://blog.youkuaiyun.com/explorer5568/article/details/131936331</guid><author>explorer5568</author><pubDate>Wed, 26 Jul 2023 15:24:32 +0800</pubDate><description><![CDATA[拉格朗日法介绍与理解]]></description><category></category></item><item><title><![CDATA[placement文章阅读笔记]]></title><link>https://blog.youkuaiyun.com/explorer5568/article/details/130861024</link><guid>https://blog.youkuaiyun.com/explorer5568/article/details/130861024</guid><author>explorer5568</author><pubDate>Thu, 25 May 2023 10:05:45 +0800</pubDate><description><![CDATA[最近阅读的关于placement文章的核心笔记]]></description><category></category></item><item><title><![CDATA[Chapter 4. Generative Adversarial Networks]]></title><link>https://blog.youkuaiyun.com/explorer5568/article/details/130708656</link><guid>https://blog.youkuaiyun.com/explorer5568/article/details/130708656</guid><author>explorer5568</author><pubDate>Tue, 16 May 2023 16:47:57 +0800</pubDate><description><![CDATA[第四章内容]]></description><category></category></item><item><title><![CDATA[Chapter 3. Variational Autoencoders]]></title><link>https://blog.youkuaiyun.com/explorer5568/article/details/130685955</link><guid>https://blog.youkuaiyun.com/explorer5568/article/details/130685955</guid><author>explorer5568</author><pubDate>Mon, 15 May 2023 16:28:52 +0800</pubDate><description><![CDATA[第三章，VAE]]></description><category></category></item><item><title><![CDATA[Deep Learning]]></title><link>https://blog.youkuaiyun.com/explorer5568/article/details/130603923</link><guid>https://blog.youkuaiyun.com/explorer5568/article/details/130603923</guid><author>explorer5568</author><pubDate>Wed, 10 May 2023 18:00:58 +0800</pubDate><description><![CDATA[第二章内容概要]]></description><category></category></item><item><title><![CDATA[Introduction to Generative Deep Learning(生成模型的入门介绍)]]></title><link>https://blog.youkuaiyun.com/explorer5568/article/details/130553358</link><guid>https://blog.youkuaiyun.com/explorer5568/article/details/130553358</guid><author>explorer5568</author><pubDate>Mon, 08 May 2023 11:34:18 +0800</pubDate><description><![CDATA[本书的第一章的重点内容的记录]]></description><category></category></item><item><title><![CDATA[简单记忆torch.sum()沿哪个维度进行求和]]></title><link>https://blog.youkuaiyun.com/explorer5568/article/details/130078383</link><guid>https://blog.youkuaiyun.com/explorer5568/article/details/130078383</guid><author>explorer5568</author><pubDate>Tue, 11 Apr 2023 11:09:47 +0800</pubDate><description><![CDATA[简单记忆torch.sum()沿哪个维度进行求和，理解dim参数的含义]]></description><category></category></item><item><title><![CDATA[将N个m*n的tensor合并成N*m*n的tensor]]></title><link>https://blog.youkuaiyun.com/explorer5568/article/details/130076526</link><guid>https://blog.youkuaiyun.com/explorer5568/article/details/130076526</guid><author>explorer5568</author><pubDate>Tue, 11 Apr 2023 09:55:45 +0800</pubDate><description><![CDATA[如何将N个m*n的tensor合并成N*m*n的tensor]]></description><category></category></item><item><title><![CDATA[Pytorch如何部分加载模型参数]]></title><link>https://blog.youkuaiyun.com/explorer5568/article/details/129795499</link><guid>https://blog.youkuaiyun.com/explorer5568/article/details/129795499</guid><author>explorer5568</author><pubDate>Thu, 30 Mar 2023 14:45:46 +0800</pubDate><description><![CDATA[在处理深度学习相关的任务时，有些情况下是在别人已有的模型上做了少量的更改，此时如果从头开始训练此模型，感觉很浪费时间，因为可以充分利用别人已经训练出来的模型的参数，供自己更改的模型使用。因此本文便简单分享一种方法，来加载模型的部分参数。]]></description><category></category></item><item><title><![CDATA[使用模型时，batchsize为1，模型报错]]></title><link>https://blog.youkuaiyun.com/explorer5568/article/details/129518503</link><guid>https://blog.youkuaiyun.com/explorer5568/article/details/129518503</guid><author>explorer5568</author><pubDate>Tue, 14 Mar 2023 10:26:36 +0800</pubDate><description><![CDATA[使用模型时需要batchsize为1，怎么样才能不报错]]></description><category></category></item><item><title><![CDATA[pytorch中一维卷积conv1d，参数含义，为何转置]]></title><link>https://blog.youkuaiyun.com/explorer5568/article/details/129416981</link><guid>https://blog.youkuaiyun.com/explorer5568/article/details/129416981</guid><author>explorer5568</author><pubDate>Thu, 09 Mar 2023 10:16:07 +0800</pubDate><description><![CDATA[pytorch中常见的一维卷积conv1d的用法，以及为什么经常要做转置运算]]></description><category></category></item><item><title><![CDATA[Python进度条的设置(tqdm库的使用)]]></title><link>https://blog.youkuaiyun.com/explorer5568/article/details/129324399</link><guid>https://blog.youkuaiyun.com/explorer5568/article/details/129324399</guid><author>explorer5568</author><pubDate>Fri, 03 Mar 2023 17:59:08 +0800</pubDate><description><![CDATA[在Python编程中，当我们所编写的代码中含有循环并且运行此代码比较耗时时，那么展示进度条是一个直观并且重要的方式。这种方式能够帮助我们理解现在程序执行到何种状态，运行的进度。在python中，tqdm库便能够方便地帮助我们实现进度条]]></description><category></category></item><item><title><![CDATA[C和C++中argc和argv的含义以及用法]]></title><link>https://blog.youkuaiyun.com/explorer5568/article/details/127911970</link><guid>https://blog.youkuaiyun.com/explorer5568/article/details/127911970</guid><author>explorer5568</author><pubDate>Thu, 17 Nov 2022 21:56:27 +0800</pubDate><description><![CDATA[各位小伙伴在接触C和C++的时候，总会看到argc和argv这两个参数，这篇文章分析这两个参数的含义以及作用，并且分享一些使用的应用场景]]></description><category></category></item><item><title><![CDATA[Python正则表达式中的‘r‘]]></title><link>https://blog.youkuaiyun.com/explorer5568/article/details/127806215</link><guid>https://blog.youkuaiyun.com/explorer5568/article/details/127806215</guid><author>explorer5568</author><pubDate>Fri, 11 Nov 2022 15:44:42 +0800</pubDate><description><![CDATA[Python中的正则表达式，前面加'r'会给正则表达式带来什么变化]]></description><category></category></item><item><title><![CDATA[Python中使用openpyxl处理excel表中的字符型数据]]></title><link>https://blog.youkuaiyun.com/explorer5568/article/details/127759573</link><guid>https://blog.youkuaiyun.com/explorer5568/article/details/127759573</guid><author>explorer5568</author><pubDate>Tue, 08 Nov 2022 22:25:37 +0800</pubDate><description><![CDATA[我们经常需要利用Python来处理excel表中的数据，也就是.xlsx文件和.xls文件，最近要处理很多这种字符型的excel表单，经常使用到一个工具就是openpyxl，因此这里写这篇文章来记录使用的一些简单用法]]></description><category></category></item></channel></rss>