<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[bublebee的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/bublebee</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; bublebee]]></copyright><item><title><![CDATA[torchvision.transforms.Normalize()中的mean和std参数]]></title><link>https://blog.youkuaiyun.com/bublebee/article/details/88993467</link><guid>https://blog.youkuaiyun.com/bublebee/article/details/88993467</guid><author>bublebee</author><pubDate>Wed, 03 Apr 2019 13:46:46 +0800</pubDate><description><![CDATA[参数的含义
根据源码，是对数据进行归一化的操作
image = (image - mean) / std

假设你数据的范围是图片的数据范围四[0,1],那么如果mean = [.5, .5, .5],std = [.5, .5, .5],根据上述式子计算
(0−0.5)/0.5=−1(0-0.5)/0.5= -1(0−0.5)/0.5=−1  ,(1−0.5)/0.5=1(1-0.5)/0.5=...]]></description><category></category></item><item><title><![CDATA[卷积神经网络卷积核层输出计算公式]]></title><link>https://blog.youkuaiyun.com/bublebee/article/details/88768381</link><guid>https://blog.youkuaiyun.com/bublebee/article/details/88768381</guid><author>bublebee</author><pubDate>Sat, 23 Mar 2019 21:04:55 +0800</pubDate><description><![CDATA[卷积层计算公式
卷积层的矩阵输出大小为    n−f+2ps+1\frac{n-f+2p}{s} +1sn−f+2p​+1，向下取整 其中nnn为输入矩阵的大小，fff为卷积核的大小，ppp为padding的大小，sss为strides的大小
池化层计算公式
池化层计算公式和卷积层的计算公式一样，只是大多数时候池化层不会进行填充，p=0p=0p=0, 所以公式为
n−fs+1\frac{n-f}{...]]></description><category></category></item><item><title><![CDATA[厦大MRI，OLED双回波序列设计]]></title><link>https://blog.youkuaiyun.com/bublebee/article/details/88405863</link><guid>https://blog.youkuaiyun.com/bublebee/article/details/88405863</guid><author>bublebee</author><pubDate>Mon, 11 Mar 2019 19:35:35 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[MATLAB 以及numpy工具包中的reshape函数用法总结]]></title><link>https://blog.youkuaiyun.com/bublebee/article/details/88245632</link><guid>https://blog.youkuaiyun.com/bublebee/article/details/88245632</guid><author>bublebee</author><pubDate>Wed, 06 Mar 2019 17:39:30 +0800</pubDate><description><![CDATA[将数组重构为矩阵

将一个大小为10的数组重构为一个2行5列的矩阵
&amp;amp;amp;amp;gt;&amp;amp;amp;amp;gt;A = 1：10
&amp;amp;amp;amp;gt;&amp;amp;amp;amp;gt;B = reshape(A,[2,5])

B =
 1     3     5     7     9
 2     4     6     8    10


将矩阵重构为具有指定行数或列数的矩阵

将一个4*4的矩阵重构成一个2行的矩阵，列数这里我们用[]代替]]></description><category></category></item></channel></rss>