<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[A_fearless_engineer的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/A_fearless_engineer</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; A_fearless_engineer]]></copyright><item><title><![CDATA[NumPy]]></title><link>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127962895</link><guid>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127962895</guid><author>A_fearless_engineer</author><pubDate>Tue, 04 Apr 2023 17:41:22 +0800</pubDate><description><![CDATA[numpy]]></description><category></category></item><item><title><![CDATA[R-CNN 详解]]></title><link>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127695021</link><guid>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127695021</guid><author>A_fearless_engineer</author><pubDate>Thu, 10 Nov 2022 18:42:26 +0800</pubDate><description><![CDATA[R-CNN]]></description><category></category></item><item><title><![CDATA[支持向量机]]></title><link>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127732171</link><guid>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127732171</guid><author>A_fearless_engineer</author><pubDate>Wed, 09 Nov 2022 12:12:04 +0800</pubDate><description><![CDATA[SVM，支持向量机，硬间隔，软间隔，核函数]]></description><category></category></item><item><title><![CDATA[线性回归模型]]></title><link>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127695463</link><guid>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127695463</guid><author>A_fearless_engineer</author><pubDate>Sat, 05 Nov 2022 10:22:34 +0800</pubDate><description><![CDATA[线性回归]]></description><category></category></item><item><title><![CDATA[卷积神经网络的基本原理]]></title><link>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127464431</link><guid>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127464431</guid><author>A_fearless_engineer</author><pubDate>Mon, 31 Oct 2022 20:28:52 +0800</pubDate><description><![CDATA[CNN、卷积神经网络、卷积核、卷积神经网路的反向传播]]></description><category></category></item><item><title><![CDATA[Batch Normalization]]></title><link>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127426046</link><guid>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127426046</guid><author>A_fearless_engineer</author><pubDate>Fri, 21 Oct 2022 22:10:23 +0800</pubDate><description><![CDATA[Batch Normalization]]></description><category></category></item><item><title><![CDATA[conda]]></title><link>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127382068</link><guid>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127382068</guid><author>A_fearless_engineer</author><pubDate>Tue, 18 Oct 2022 12:42:20 +0800</pubDate><description><![CDATA[conda]]></description><category></category></item><item><title><![CDATA[神经网络的正则化]]></title><link>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127212006</link><guid>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127212006</guid><author>A_fearless_engineer</author><pubDate>Mon, 17 Oct 2022 20:23:56 +0800</pubDate><description><![CDATA[L1/L2 正则化，Dropout]]></description><category></category></item><item><title><![CDATA[神经网络的可训练参数初始化]]></title><link>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127212033</link><guid>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127212033</guid><author>A_fearless_engineer</author><pubDate>Sun, 16 Oct 2022 17:18:08 +0800</pubDate><description><![CDATA[参数初始化，Xavier，Glorot，He，Kaiming]]></description><category></category></item><item><title><![CDATA[神经网络的优化器]]></title><link>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127211992</link><guid>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127211992</guid><author>A_fearless_engineer</author><pubDate>Fri, 14 Oct 2022 20:49:51 +0800</pubDate><description><![CDATA[优化器，SGD，Momentum，NAG，AdaGrad，RMSProp，Adam]]></description><category></category></item><item><title><![CDATA[神经网络的损失函数]]></title><link>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127199029</link><guid>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127199029</guid><author>A_fearless_engineer</author><pubDate>Mon, 10 Oct 2022 22:46:33 +0800</pubDate><description><![CDATA[损失函数，均方误差，交叉熵]]></description><category></category></item><item><title><![CDATA[pyplot]]></title><link>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127243169</link><guid>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127243169</guid><author>A_fearless_engineer</author><pubDate>Mon, 10 Oct 2022 16:33:00 +0800</pubDate><description><![CDATA[pyplot]]></description><category></category></item><item><title><![CDATA[神经网络的激活函数]]></title><link>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/115976194</link><guid>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/115976194</guid><author>A_fearless_engineer</author><pubDate>Sat, 08 Oct 2022 16:36:03 +0800</pubDate><description><![CDATA[激活函数，优秀的激活函数，Sigmoid，tanh，ReLU，神经元死亡]]></description><category></category></item><item><title><![CDATA[神经网络的基本原理]]></title><link>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127150394</link><guid>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/127150394</guid><author>A_fearless_engineer</author><pubDate>Wed, 05 Oct 2022 17:48:54 +0800</pubDate><description><![CDATA[神经元模型，MP 模型，BP 神经网络，正向传播，反向传播，反向传播推导]]></description><category></category></item><item><title><![CDATA[正则表达式笔记]]></title><link>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/126002756</link><guid>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/126002756</guid><author>A_fearless_engineer</author><pubDate>Wed, 27 Jul 2022 00:27:30 +0800</pubDate><description><![CDATA[正则表达式，BREs，EREs，PREs]]></description><category></category></item><item><title><![CDATA[U-Boot 笔记]]></title><link>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/125677930</link><guid>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/125677930</guid><author>A_fearless_engineer</author><pubDate>Mon, 25 Jul 2022 20:55:23 +0800</pubDate><description><![CDATA[U-Boot]]></description><category></category></item><item><title><![CDATA[Linux FHS]]></title><link>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/125941631</link><guid>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/125941631</guid><author>A_fearless_engineer</author><pubDate>Fri, 22 Jul 2022 23:13:51 +0800</pubDate><description><![CDATA[FHS，文件系统层次结构标准，Linux 文件结构]]></description><category></category></item><item><title><![CDATA[Vim 笔记]]></title><link>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/125822883</link><guid>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/125822883</guid><author>A_fearless_engineer</author><pubDate>Sat, 16 Jul 2022 18:39:17 +0800</pubDate><description><![CDATA[vim 笔记]]></description><category></category></item><item><title><![CDATA[Linux 命令行]]></title><link>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/125726597</link><guid>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/125726597</guid><author>A_fearless_engineer</author><pubDate>Mon, 11 Jul 2022 20:36:47 +0800</pubDate><description><![CDATA[Linux 命令，Linux 学习笔记]]></description><category></category></item><item><title><![CDATA[分数运算]]></title><link>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/120211177</link><guid>https://blog.youkuaiyun.com/A_fearless_engineer/article/details/120211177</guid><author>A_fearless_engineer</author><pubDate>Thu, 09 Sep 2021 22:12:42 +0800</pubDate><description><![CDATA[计算机表示分数的三个规定：

0的形式为0/1
分母必须为正，符号放在分子上
分子分母绝对值的最大公约数为1

struct fraction{
    int up, down;
    int gcd(int x, int y){
        return !y ? x : gcd(y, x%y);
    }
    void simplify(){
        if(up == 0){ /// 规定0为0/1
            down = 1;
        }else{
    ]]></description><category></category></item></channel></rss>