<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[qq_38856421的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/qq_38856421</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; qq_38856421]]></copyright><item><title><![CDATA[Lama：《Resolution-robust Large Mask Inpainting with Fourier Convolutions》训练、推理实战记录]]></title><link>https://blog.youkuaiyun.com/qq_38856421/article/details/127412963</link><guid>https://blog.youkuaiyun.com/qq_38856421/article/details/127412963</guid><author>qq_38856421</author><pubDate>Wed, 19 Oct 2022 17:56:13 +0800</pubDate><description><![CDATA[记录一下Lama模型的训练、infe踩坑，以及如何更改预设的mask生成方式。]]></description><category></category></item><item><title><![CDATA[Lama：《Resolution-robust Large Mask Inpainting with Fourier Convolutions》解读及实操]]></title><link>https://blog.youkuaiyun.com/qq_38856421/article/details/127322742</link><guid>https://blog.youkuaiyun.com/qq_38856421/article/details/127322742</guid><author>qq_38856421</author><pubDate>Fri, 14 Oct 2022 16:23:13 +0800</pubDate><description><![CDATA[图像Inpainting佳作Lama论文阅读及操作记录]]></description><category></category></item><item><title><![CDATA[Video Summary实操记录]]></title><link>https://blog.youkuaiyun.com/qq_38856421/article/details/127306172</link><guid>https://blog.youkuaiyun.com/qq_38856421/article/details/127306172</guid><author>qq_38856421</author><pubDate>Thu, 13 Oct 2022 18:07:36 +0800</pubDate><description><![CDATA[video summary 记录]]></description><category></category></item><item><title><![CDATA[GoogLeNet学习总结]]></title><link>https://blog.youkuaiyun.com/qq_38856421/article/details/104733568</link><guid>https://blog.youkuaiyun.com/qq_38856421/article/details/104733568</guid><author>qq_38856421</author><pubDate>Sun, 08 Mar 2020 16:40:26 +0800</pubDate><description><![CDATA[#参考文档：https://my.oschina.net/u/876354/blog/1637819#comments
https://panjinquan.blog.youkuaiyun.com/article/details/81560537
本文就最近学习的GoogLeNet进行总结，主要包括了其基本原理、模型构成、python代码实现、C语言代码简单实现、实战项目应用。
一、基本原理
一般来说，提升网...]]></description><category></category></item><item><title><![CDATA[C语言实现矩阵卷积运算]]></title><link>https://blog.youkuaiyun.com/qq_38856421/article/details/104441700</link><guid>https://blog.youkuaiyun.com/qq_38856421/article/details/104441700</guid><author>qq_38856421</author><pubDate>Sat, 22 Feb 2020 12:31:17 +0800</pubDate><description><![CDATA[直观的说卷积操作可以理解为——每次透过一个较小的“窗口”去覆盖被输入进来的大窗口中的某一部分所得出的结果。每次得出结果后小窗口就会根据步长滑动至下一个位置并重复这一计算过程，最终得到卷积后的输出矩阵结果。
卷积的计算过程可由下图直观说明。

必须注意的是，根据卷积的数学原理，上图中的3*3矩阵实际上是真正卷积核矩阵经逆时针旋转180度所得到的矩阵。再举一详细示例加以说明。
假设卷积核为：

待处理...]]></description><category></category></item></channel></rss>