<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[RG_xwz的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/RG_xwz</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; RG_xwz]]></copyright><item><title><![CDATA[【基于PyTorch的简单多层感知机（MLP）神经网络（深度学习经典代码实现）】]]></title><link>https://blog.youkuaiyun.com/RG_xwz/article/details/143923303</link><guid>https://blog.youkuaiyun.com/RG_xwz/article/details/143923303</guid><author>RG_xwz</author><pubDate>Wed, 20 Nov 2024 19:29:12 +0800</pubDate><description><![CDATA[基于PyTorch的简单多层感知机（MLP）神经网络]]></description><category></category></item><item><title><![CDATA[【简单的基于循环神经网络（RNN）的模型（深度学习经典代码实现）】]]></title><link>https://blog.youkuaiyun.com/RG_xwz/article/details/143770727</link><guid>https://blog.youkuaiyun.com/RG_xwz/article/details/143770727</guid><author>RG_xwz</author><pubDate>Thu, 14 Nov 2024 14:37:02 +0800</pubDate><description><![CDATA[简单的基于循环神经网络（RNN）的模型，用于处理序列数据并进行预测。通过不断地训练迭代，利用定义的损失函数和优化器来优化模型参数，以提高预测的准确性。]]></description><category></category></item><item><title><![CDATA[【梯度下降算法（深度学习经典代码实现）】]]></title><link>https://blog.youkuaiyun.com/RG_xwz/article/details/143762385</link><guid>https://blog.youkuaiyun.com/RG_xwz/article/details/143762385</guid><author>RG_xwz</author><pubDate>Thu, 14 Nov 2024 11:12:48 +0800</pubDate><description><![CDATA[梯度下降算法（深度学习经典代码实现）]]></description><category></category></item><item><title><![CDATA[【线性模型（深度学习经典代码实现）】]]></title><link>https://blog.youkuaiyun.com/RG_xwz/article/details/143751974</link><guid>https://blog.youkuaiyun.com/RG_xwz/article/details/143751974</guid><author>RG_xwz</author><pubDate>Wed, 13 Nov 2024 20:49:49 +0800</pubDate><description><![CDATA[【线性模型（深度学习经典代码实现）】]]></description><category></category></item><item><title><![CDATA[【基于PyTorch的简单多层感知机（MLP）神经网络（深度学习经典代码实现）】]]></title><link>https://blog.youkuaiyun.com/RG_xwz/article/details/143744447</link><guid>https://blog.youkuaiyun.com/RG_xwz/article/details/143744447</guid><author>RG_xwz</author><pubDate>Wed, 13 Nov 2024 15:40:11 +0800</pubDate><description><![CDATA[基于PyTorch的简单多层感知机（MLP）神经网络]]></description><category></category></item></channel></rss>