<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[MATLAB_learning的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/MATLAB_learning</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; MATLAB_learning]]></copyright><item><title><![CDATA[使用git工具上传代码到Github]]></title><link>https://blog.youkuaiyun.com/MATLAB_learning/article/details/143089049</link><guid>https://blog.youkuaiyun.com/MATLAB_learning/article/details/143089049</guid><author>MATLAB_learning</author><pubDate>Sun, 20 Oct 2024 10:23:33 +0800</pubDate><description><![CDATA[参考别人的经验，使用git工具将本地代码上传到github。实践过程中遇到两个问题，分别是git add --all报错和 git push -u origin master报错。文中在补充说明部分给出了解决办法。]]></description><category></category></item><item><title><![CDATA[RuntimeError: __iter__() is only supported inside of tf.function or when eager execution is enabled.]]></title><link>https://blog.youkuaiyun.com/MATLAB_learning/article/details/128579984</link><guid>https://blog.youkuaiyun.com/MATLAB_learning/article/details/128579984</guid><author>MATLAB_learning</author><pubDate>Fri, 06 Jan 2023 16:03:41 +0800</pubDate><description><![CDATA[由于我所用的tensorflow为1.5.1版本，通过在import tensorflow as tf后添加tf.enable_eager_execution() 命令。注意需要在程序最开始的时候运行tf.enable_eager_execution()，否则会出现报错ValueError: tf.enable_eager_execution must be called at program startup.]]></description><category></category></item><item><title><![CDATA[python argparse模块的使用(2)]]></title><link>https://blog.youkuaiyun.com/MATLAB_learning/article/details/128563572</link><guid>https://blog.youkuaiyun.com/MATLAB_learning/article/details/128563572</guid><author>MATLAB_learning</author><pubDate>Thu, 05 Jan 2023 16:17:57 +0800</pubDate><description><![CDATA[前文以计算长方形的面积为例，分别建立并调用Rec_S.py和Rec_S_arg.py两个文件，对比说明了argparse的基本使用，本文在前文的基础上继续介绍argparse的一些使用。]]></description><category></category></item><item><title><![CDATA[python argparse模块的使用(1)]]></title><link>https://blog.youkuaiyun.com/MATLAB_learning/article/details/128562491</link><guid>https://blog.youkuaiyun.com/MATLAB_learning/article/details/128562491</guid><author>MATLAB_learning</author><pubDate>Thu, 05 Jan 2023 14:41:30 +0800</pubDate><description><![CDATA[通过argparse的调用，将代码与参数分开，便于任意调整参数的设置。当项目的子文件非常多的情况下，这种方式非常便于管理子文件和调整参数。比如本例中，如果不用argparse模块的话，当需要计算不同长宽的长方形面积时，每次都需要到Rec_S.py文件里面去修改a和b的取值。但是通过使用argparse模块，我们可以在jupyter notebbok里调用时任意修改a和b的取值。]]></description><category></category></item><item><title><![CDATA[使用pickle存储和读取数据]]></title><link>https://blog.youkuaiyun.com/MATLAB_learning/article/details/128559381</link><guid>https://blog.youkuaiyun.com/MATLAB_learning/article/details/128559381</guid><author>MATLAB_learning</author><pubDate>Thu, 05 Jan 2023 10:49:37 +0800</pubDate><description><![CDATA[【代码】使用pickle存储和读取数据。]]></description><category></category></item><item><title><![CDATA[利用torch.distributions生成一些满足不同分布的随机数]]></title><link>https://blog.youkuaiyun.com/MATLAB_learning/article/details/128530249</link><guid>https://blog.youkuaiyun.com/MATLAB_learning/article/details/128530249</guid><author>MATLAB_learning</author><pubDate>Tue, 03 Jan 2023 12:02:52 +0800</pubDate><description><![CDATA[【代码】利用torch.distributions分别满足对数正态分布\正态分布\均匀分布\伯努力分布的随机数。]]></description><category></category></item><item><title><![CDATA[Python class __int__容易理解]]></title><link>https://blog.youkuaiyun.com/MATLAB_learning/article/details/128518564</link><guid>https://blog.youkuaiyun.com/MATLAB_learning/article/details/128518564</guid><author>MATLAB_learning</author><pubDate>Mon, 02 Jan 2023 10:21:10 +0800</pubDate><description><![CDATA[【代码】Python class __int__ 容易理解的版本]]></description><category></category></item><item><title><![CDATA[Ubuntu18 04安装QQ]]></title><link>https://blog.youkuaiyun.com/MATLAB_learning/article/details/128388716</link><guid>https://blog.youkuaiyun.com/MATLAB_learning/article/details/128388716</guid><author>MATLAB_learning</author><pubDate>Tue, 20 Dec 2022 18:24:38 +0800</pubDate><description><![CDATA[Tags: QQ, Ubuntu18.04, 截图工具。]]></description><category></category></item></channel></rss>