<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[山可行,海可平]]></title><description><![CDATA[山有路可行]]></description><link>https://blog.youkuaiyun.com/yuri5151</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; yuri5151]]></copyright><item><title><![CDATA[预训练大语言模型]]></title><link>https://blog.youkuaiyun.com/yuri5151/article/details/148844318</link><guid>https://blog.youkuaiyun.com/yuri5151/article/details/148844318</guid><author>yuri5151</author><pubDate>Mon, 23 Jun 2025 15:37:03 +0800</pubDate><description><![CDATA[大语言模型和计算资源]]></description><category></category></item><item><title><![CDATA[[动手学深度学习]29. 残差网络]]></title><link>https://blog.youkuaiyun.com/yuri5151/article/details/146521456</link><guid>https://blog.youkuaiyun.com/yuri5151/article/details/146521456</guid><author>yuri5151</author><pubDate>Wed, 26 Mar 2025 19:55:26 +0800</pubDate><description><![CDATA[resnet]]></description><category></category></item><item><title><![CDATA[[动手学习深度学习]28. 批量归一化]]></title><link>https://blog.youkuaiyun.com/yuri5151/article/details/146378453</link><guid>https://blog.youkuaiyun.com/yuri5151/article/details/146378453</guid><author>yuri5151</author><pubDate>Sun, 23 Mar 2025 21:44:01 +0800</pubDate><description><![CDATA[批量归一化]]></description><category></category></item><item><title><![CDATA[[动手学深度学习]14.数值稳定性+模型初始化和激活函数]]></title><link>https://blog.youkuaiyun.com/yuri5151/article/details/146156005</link><guid>https://blog.youkuaiyun.com/yuri5151/article/details/146156005</guid><author>yuri5151</author><pubDate>Fri, 21 Mar 2025 14:20:36 +0800</pubDate><description><![CDATA[数值稳定性、模型初始化]]></description><category></category></item><item><title><![CDATA[[动手学习深度学习] 27.含并行连结的网络 GoogLeNet/Inception v3]]></title><link>https://blog.youkuaiyun.com/yuri5151/article/details/146347216</link><guid>https://blog.youkuaiyun.com/yuri5151/article/details/146347216</guid><author>yuri5151</author><pubDate>Wed, 19 Mar 2025 15:11:56 +0800</pubDate><description><![CDATA[GoogLeNet]]></description><category></category></item><item><title><![CDATA[[动手学习深度学习]26. 网络中的网络 NiN]]></title><link>https://blog.youkuaiyun.com/yuri5151/article/details/146345136</link><guid>https://blog.youkuaiyun.com/yuri5151/article/details/146345136</guid><author>yuri5151</author><pubDate>Tue, 18 Mar 2025 17:02:53 +0800</pubDate><description><![CDATA[NiN网络]]></description><category></category></item><item><title><![CDATA[[动手学习深度学习]25. 使用块的网络VGG]]></title><link>https://blog.youkuaiyun.com/yuri5151/article/details/146343760</link><guid>https://blog.youkuaiyun.com/yuri5151/article/details/146343760</guid><author>yuri5151</author><pubDate>Tue, 18 Mar 2025 16:21:42 +0800</pubDate><description><![CDATA[VGG网络]]></description><category></category></item><item><title><![CDATA[【论文阅读】AlexNet——深度学习奠基作之一]]></title><link>https://blog.youkuaiyun.com/yuri5151/article/details/146258934</link><guid>https://blog.youkuaiyun.com/yuri5151/article/details/146258934</guid><author>yuri5151</author><pubDate>Sat, 15 Mar 2025 22:04:00 +0800</pubDate><description><![CDATA[李沐课程 AlexNet论文精读笔记]]></description><category></category></item><item><title><![CDATA[【论文阅读方法】沐神课程：如何读论文]]></title><link>https://blog.youkuaiyun.com/yuri5151/article/details/146258457</link><guid>https://blog.youkuaiyun.com/yuri5151/article/details/146258457</guid><author>yuri5151</author><pubDate>Fri, 14 Mar 2025 15:29:32 +0800</pubDate><description><![CDATA[如何读问文章]]></description><category></category></item><item><title><![CDATA[[动手学习深度学习]24. AlexNet]]></title><link>https://blog.youkuaiyun.com/yuri5151/article/details/146250854</link><guid>https://blog.youkuaiyun.com/yuri5151/article/details/146250854</guid><author>yuri5151</author><pubDate>Fri, 14 Mar 2025 15:11:09 +0800</pubDate><description><![CDATA[AlexNet是更大更深的LeNet，10x参数个数，260x计算复杂度新加入了dropout、ReLu、最大池化层、数据增强AlexNet赢下2012年ImageNet竞赛后，标志着新一轮神经网络热潮的开始# 这里用的是fashion_mnist数据集# 因为ImageNet数据集太大了，训练比较难，时间长，所以这里用了个小数据集进行测试# 和LeNet没有本质区别，都是直接穿起来，所以也用Sequential# 起始是五个卷积。]]></description><category></category></item><item><title><![CDATA[[动手学习深度学习]13.丢弃法 Dropout]]></title><link>https://blog.youkuaiyun.com/yuri5151/article/details/146155247</link><guid>https://blog.youkuaiyun.com/yuri5151/article/details/146155247</guid><author>yuri5151</author><pubDate>Mon, 10 Mar 2025 15:19:32 +0800</pubDate><description><![CDATA[丢弃法，控制模型复杂度方法，多用在多层感知机的隐藏层输出上]]></description><category></category></item><item><title><![CDATA[[动手学习深度学习]12.权重衰退]]></title><link>https://blog.youkuaiyun.com/yuri5151/article/details/146128812</link><guid>https://blog.youkuaiyun.com/yuri5151/article/details/146128812</guid><author>yuri5151</author><pubDate>Sun, 09 Mar 2025 12:06:44 +0800</pubDate><description><![CDATA[权重衰退]]></description><category></category></item><item><title><![CDATA[[动手学深度学习]11. 模型选择+过拟合和欠拟合]]></title><link>https://blog.youkuaiyun.com/yuri5151/article/details/146128238</link><guid>https://blog.youkuaiyun.com/yuri5151/article/details/146128238</guid><author>yuri5151</author><pubDate>Sun, 09 Mar 2025 10:32:41 +0800</pubDate><description><![CDATA[参数选择和拟合]]></description><category></category></item><item><title><![CDATA[[论文阅读]UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures]]></title><link>https://blog.youkuaiyun.com/yuri5151/article/details/144062853</link><guid>https://blog.youkuaiyun.com/yuri5151/article/details/144062853</guid><author>yuri5151</author><pubDate>Thu, 28 Nov 2024 20:43:16 +0800</pubDate><description><![CDATA[UNSSOR：利用超定训练混合物进行无监督神经语音分离]]></description><category></category></item><item><title><![CDATA[[论文阅读-综述]Supervised Speech Separation Based on Deep Learning: An Overview]]></title><link>https://blog.youkuaiyun.com/yuri5151/article/details/143981640</link><guid>https://blog.youkuaiyun.com/yuri5151/article/details/143981640</guid><author>yuri5151</author><pubDate>Mon, 25 Nov 2024 21:51:44 +0800</pubDate><description><![CDATA[论文《Supervised Speech Separation Based on Deep Learning: An Overview》的翻译与学习记录，文章主要讨论了基于深度学习的监督语音分离技术，概述了这一领域的2018进展。]]></description><category></category></item><item><title><![CDATA[2.不同语音ai任务dataset类写法]]></title><link>https://blog.youkuaiyun.com/yuri5151/article/details/143956187</link><guid>https://blog.youkuaiyun.com/yuri5151/article/details/143956187</guid><author>yuri5151</author><pubDate>Fri, 22 Nov 2024 15:34:38 +0800</pubDate><description><![CDATA[dataset类的写法，padding方法]]></description><category></category></item><item><title><![CDATA[1. 语音信号基础]]></title><link>https://blog.youkuaiyun.com/yuri5151/article/details/143951131</link><guid>https://blog.youkuaiyun.com/yuri5151/article/details/143951131</guid><author>yuri5151</author><pubDate>Thu, 21 Nov 2024 20:50:07 +0800</pubDate><description><![CDATA[语音信号基础，包括信号处理基本流程、语音信号基本概念、频谱使用、mel频谱提取基本代码示例]]></description><category></category></item><item><title><![CDATA[【工具使用】clang++踩坑记录]]></title><link>https://blog.youkuaiyun.com/yuri5151/article/details/141634575</link><guid>https://blog.youkuaiyun.com/yuri5151/article/details/141634575</guid><author>yuri5151</author><pubDate>Wed, 28 Aug 2024 10:42:29 +0800</pubDate><description><![CDATA[clang++找不到iostream报错]]></description><category></category></item><item><title><![CDATA[【工具】make-Makefile]]></title><link>https://blog.youkuaiyun.com/yuri5151/article/details/141562269</link><guid>https://blog.youkuaiyun.com/yuri5151/article/details/141562269</guid><author>yuri5151</author><pubDate>Wed, 28 Aug 2024 10:30:47 +0800</pubDate><description><![CDATA[make-Makefile的使用，以及里面踩了一些clang++的坑]]></description><category></category></item><item><title><![CDATA[【现代操作系统】3. 中断、异常、系统调用]]></title><link>https://blog.youkuaiyun.com/yuri5151/article/details/141361199</link><guid>https://blog.youkuaiyun.com/yuri5151/article/details/141361199</guid><author>yuri5151</author><pubDate>Tue, 20 Aug 2024 18:00:22 +0800</pubDate><description><![CDATA[操作系统的中断、异常、系统调用]]></description><category></category></item></channel></rss>