<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Insistence0807的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Insistence0807</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Insistence0807]]></copyright><item><title><![CDATA[可解释机器学习 Task06 -LIME可解释性分析]]></title><link>https://blog.youkuaiyun.com/Insistence0807/article/details/128425616</link><guid>https://blog.youkuaiyun.com/Insistence0807/article/details/128425616</guid><author>Insistence0807</author><pubDate>Sat, 24 Dec 2022 01:33:24 +0800</pubDate><description><![CDATA[本文对于LIME算法进行了简介。]]></description><category></category></item><item><title><![CDATA[CS231N斯坦福计算机视觉公开课 04 -卷积神经网络]]></title><link>https://blog.youkuaiyun.com/Insistence0807/article/details/128391988</link><guid>https://blog.youkuaiyun.com/Insistence0807/article/details/128391988</guid><author>Insistence0807</author><pubDate>Wed, 21 Dec 2022 16:25:44 +0800</pubDate><description><![CDATA[本文简介了卷积神经网络的特点以及一些不足]]></description><category></category></item><item><title><![CDATA[CS231N斯坦福计算机视觉公开课 03 - 神经网络和反向传播]]></title><link>https://blog.youkuaiyun.com/Insistence0807/article/details/128388327</link><guid>https://blog.youkuaiyun.com/Insistence0807/article/details/128388327</guid><author>Insistence0807</author><pubDate>Wed, 21 Dec 2022 00:37:51 +0800</pubDate><description><![CDATA[本文简介了神经网络以及其传播过程]]></description><category></category></item><item><title><![CDATA[CS231N斯坦福计算机视觉公开课 02 - 损失函数和优化]]></title><link>https://blog.youkuaiyun.com/Insistence0807/article/details/128382366</link><guid>https://blog.youkuaiyun.com/Insistence0807/article/details/128382366</guid><author>Insistence0807</author><pubDate>Tue, 20 Dec 2022 12:59:24 +0800</pubDate><description><![CDATA[本文介绍了损失函数以及梯度下降的内容]]></description><category></category></item><item><title><![CDATA[可解释机器学习 Task04 - GradCAM深度学习可解释性分析]]></title><link>https://blog.youkuaiyun.com/Insistence0807/article/details/128379080</link><guid>https://blog.youkuaiyun.com/Insistence0807/article/details/128379080</guid><author>Insistence0807</author><pubDate>Tue, 20 Dec 2022 00:57:31 +0800</pubDate><description><![CDATA[本文介绍了Grad-CAM算法的原理以及优缺点，并且根据其缺点简介了完善其缺点的算法。]]></description><category></category></item><item><title><![CDATA[可解释机器学习 Task03 - CAM可解释性分析]]></title><link>https://blog.youkuaiyun.com/Insistence0807/article/details/128349469</link><guid>https://blog.youkuaiyun.com/Insistence0807/article/details/128349469</guid><author>Insistence0807</author><pubDate>Sat, 17 Dec 2022 01:06:13 +0800</pubDate><description><![CDATA[本文对CAM算法进行课解读，对其中的GAP操作进行了详尽的说明]]></description><category></category></item><item><title><![CDATA[CS231N斯坦福计算机视觉公开课 01 - 图像分类流程]]></title><link>https://blog.youkuaiyun.com/Insistence0807/article/details/128340584</link><guid>https://blog.youkuaiyun.com/Insistence0807/article/details/128340584</guid><author>Insistence0807</author><pubDate>Fri, 16 Dec 2022 23:57:39 +0800</pubDate><description><![CDATA[CS231N斯坦福计算机视觉公开课的课程笔记]]></description><category></category></item><item><title><![CDATA[可解释机器学习 Task02 - ZFNet深度学习图像分类算法]]></title><link>https://blog.youkuaiyun.com/Insistence0807/article/details/128337015</link><guid>https://blog.youkuaiyun.com/Insistence0807/article/details/128337015</guid><author>Insistence0807</author><pubDate>Fri, 16 Dec 2022 02:14:05 +0800</pubDate><description><![CDATA[本文对于ZFNet深度学习图像分类算法进行了介绍，对于其中的反卷积可视化进行了详尽的说明]]></description><category></category></item><item><title><![CDATA[可解释机器学习 Task01-导论]]></title><link>https://blog.youkuaiyun.com/Insistence0807/article/details/128309982</link><guid>https://blog.youkuaiyun.com/Insistence0807/article/details/128309982</guid><author>Insistence0807</author><pubDate>Wed, 14 Dec 2022 01:18:58 +0800</pubDate><description><![CDATA[可解释机器学习导论摘要
]]></description><category></category></item><item><title><![CDATA[Matpoltlib学习笔记（一）：可视化与绘图基础]]></title><link>https://blog.youkuaiyun.com/Insistence0807/article/details/125961869</link><guid>https://blog.youkuaiyun.com/Insistence0807/article/details/125961869</guid><author>Insistence0807</author><pubDate>Sun, 24 Jul 2022 18:44:25 +0800</pubDate><description><![CDATA[本文对于Matplotlib的基本常用操作进行简单说明与演示，如有意见与建议，请在评论区留言交流]]></description><category></category></item><item><title><![CDATA[Numpy学习笔记（三）：排序、搜索和计数]]></title><link>https://blog.youkuaiyun.com/Insistence0807/article/details/125881024</link><guid>https://blog.youkuaiyun.com/Insistence0807/article/details/125881024</guid><author>Insistence0807</author><pubDate>Tue, 19 Jul 2022 23:11:59 +0800</pubDate><description><![CDATA[本文简述了Numpy中有关排序、搜索以及计数的一些函数的用法，希望讲解对您有所帮助。]]></description><category></category></item><item><title><![CDATA[Numpy学习笔记（二）：数组的相关操作]]></title><link>https://blog.youkuaiyun.com/Insistence0807/article/details/125654007</link><guid>https://blog.youkuaiyun.com/Insistence0807/article/details/125654007</guid><author>Insistence0807</author><pubDate>Fri, 08 Jul 2022 00:41:58 +0800</pubDate><description><![CDATA[本部分包含Numpy中数组的创建、索引、切片、迭代以及有关形状、维度等一系列操作，并根据笔者自身对于相关知识的理解进行详写与略写。]]></description><category></category></item><item><title><![CDATA[Numpy学习笔记（一）：时间日期和时间增量]]></title><link>https://blog.youkuaiyun.com/Insistence0807/article/details/125648054</link><guid>https://blog.youkuaiyun.com/Insistence0807/article/details/125648054</guid><author>Insistence0807</author><pubDate>Thu, 07 Jul 2022 01:23:33 +0800</pubDate><description><![CDATA[文章分析了Numpy中有关时间日期和时间增量的相关定义、函数、参数的内容以及用法，并通过大量实例进行对比说明。]]></description><category></category></item><item><title><![CDATA[Python入门 | 保姆级Python以及Pycharm安装教程]]></title><link>https://blog.youkuaiyun.com/Insistence0807/article/details/125577971</link><guid>https://blog.youkuaiyun.com/Insistence0807/article/details/125577971</guid><author>Insistence0807</author><pubDate>Sun, 03 Jul 2022 01:16:49 +0800</pubDate><description><![CDATA[机器学习从下载Python以及Pycharm开始，本文在踩坑无数回后将下载过程以及使用技巧总结起来以方便您阅读，帮您避开所有下载过程中的错误与坑！
不要让我们的学习之路卡在没有装好软件上！]]></description><category></category></item></channel></rss>