<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Patrick6789的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Patrick6789</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Patrick6789]]></copyright><item><title><![CDATA[Cousera-Introduction to Scripting in Python]]></title><link>https://blog.youkuaiyun.com/Patrick6789/article/details/122927325</link><guid>https://blog.youkuaiyun.com/Patrick6789/article/details/122927325</guid><author>Patrick6789</author><pubDate>Mon, 14 Feb 2022 16:33:30 +0800</pubDate><description><![CDATA[非常喜欢的课程，就是节奏慢了一些，data analysis环节好像没有太多analysis，基本是导入啥的。












]]></description><category></category></item><item><title><![CDATA[Coursera-Python for everybody]]></title><link>https://blog.youkuaiyun.com/Patrick6789/article/details/122794867</link><guid>https://blog.youkuaiyun.com/Patrick6789/article/details/122794867</guid><author>Patrick6789</author><pubDate>Sun, 06 Feb 2022 00:08:23 +0800</pubDate><description><![CDATA[比较容易，但很系统，有基础刷得挺快，但是很多以前忽略的点值得看。




]]></description><category></category></item><item><title><![CDATA[【paddle paddle-GNN】=0，1=python基础复习，paddle paddle快速入门]]></title><link>https://blog.youkuaiyun.com/Patrick6789/article/details/122754470</link><guid>https://blog.youkuaiyun.com/Patrick6789/article/details/122754470</guid><author>Patrick6789</author><pubDate>Tue, 01 Feb 2022 16:43:03 +0800</pubDate><description><![CDATA[python基础；导入库； 查看sample数据；创建x，y，y_pred(网络定义）；定义损失优化；训练模型，保存模型，评估模型；模型预测]]></description><category></category></item><item><title><![CDATA[【Pytorch卷1】 =11= GNN]]></title><link>https://blog.youkuaiyun.com/Patrick6789/article/details/122751980</link><guid>https://blog.youkuaiyun.com/Patrick6789/article/details/122751980</guid><author>Patrick6789</author><pubDate>Sun, 30 Jan 2022 12:53:00 +0800</pubDate><description><![CDATA[=====去搞paddlepaddle的图神经了全当结课了=================
]]></description><category></category></item><item><title><![CDATA[【Pytorch卷1】=10= 无监督神经网络]]></title><link>https://blog.youkuaiyun.com/Patrick6789/article/details/122751066</link><guid>https://blog.youkuaiyun.com/Patrick6789/article/details/122751066</guid><author>Patrick6789</author><pubDate>Sun, 30 Jan 2022 10:58:35 +0800</pubDate><description><![CDATA[==============主要是监督学习，这部分留着以后用的时候再看=======================

主要内容：

损失函数-KL散度， W散度

Auto-Encoder

GAN / W-GAN / WGAN-gp


]]></description><category></category></item><item><title><![CDATA[【Pytorch卷1】=9=注意力机制-LSTM【监督学习】]]></title><link>https://blog.youkuaiyun.com/Patrick6789/article/details/122688799</link><guid>https://blog.youkuaiyun.com/Patrick6789/article/details/122688799</guid><author>Patrick6789</author><pubDate>Tue, 25 Jan 2022 17:49:52 +0800</pubDate><description><![CDATA[设置注意力机制class]]></description><category></category></item><item><title><![CDATA[【Pytorch卷1】=8=批量归一化]]></title><link>https://blog.youkuaiyun.com/Patrick6789/article/details/122681008</link><guid>https://blog.youkuaiyun.com/Patrick6789/article/details/122681008</guid><author>Patrick6789</author><pubDate>Tue, 25 Jan 2022 11:02:48 +0800</pubDate><description><![CDATA[批量归一化]]></description><category></category></item><item><title><![CDATA[【Pytorch卷1】=7=正则化]]></title><link>https://blog.youkuaiyun.com/Patrick6789/article/details/122670880</link><guid>https://blog.youkuaiyun.com/Patrick6789/article/details/122670880</guid><author>Patrick6789</author><pubDate>Mon, 24 Jan 2022 17:19:14 +0800</pubDate><description><![CDATA[正则化：L2；dropout；]]></description><category></category></item><item><title><![CDATA[【Pytorch卷1】=6=循环神经网络（GRU-RNN)【监督学习】]]></title><link>https://blog.youkuaiyun.com/Patrick6789/article/details/122620596</link><guid>https://blog.youkuaiyun.com/Patrick6789/article/details/122620596</guid><author>Patrick6789</author><pubDate>Fri, 21 Jan 2022 15:20:00 +0800</pubDate><description><![CDATA[RNN汉字转成向量，构建双向RNN模型，训练模型]]></description><category></category></item><item><title><![CDATA[【pytorc卷1】=5= 卷积神经网络全套走一走【监督学习】]]></title><link>https://blog.youkuaiyun.com/Patrick6789/article/details/122577227</link><guid>https://blog.youkuaiyun.com/Patrick6789/article/details/122577227</guid><author>Patrick6789</author><pubDate>Wed, 19 Jan 2022 14:40:08 +0800</pubDate><description><![CDATA[下载样本，图片转入pytorch ； 制作批次数据集：dataloader封装，读取批次数据集 ； 构建训练模型 ； 定义损失和优化器 ； 训练模型； 保存模型，载入模型； 预测准确率]]></description><category></category></item><item><title><![CDATA[【pytorch卷1】 =4= 构建池化层]]></title><link>https://blog.youkuaiyun.com/Patrick6789/article/details/122556916</link><guid>https://blog.youkuaiyun.com/Patrick6789/article/details/122556916</guid><author>Patrick6789</author><pubDate>Tue, 18 Jan 2022 13:29:01 +0800</pubDate><description><![CDATA[池化层建设]]></description><category></category></item><item><title><![CDATA[【pytorch卷1】=3=卷积提取提取图片轮廓]]></title><link>https://blog.youkuaiyun.com/Patrick6789/article/details/122525174</link><guid>https://blog.youkuaiyun.com/Patrick6789/article/details/122525174</guid><author>Patrick6789</author><pubDate>Sun, 16 Jan 2022 17:19:54 +0800</pubDate><description><![CDATA[图片处理，mping引入图片，transforms转化tensor，引入卷积核，卷积函数处理]]></description><category></category></item><item><title><![CDATA[【pytorch卷1】=2= CNN, 卷积函数]]></title><link>https://blog.youkuaiyun.com/Patrick6789/article/details/122512720</link><guid>https://blog.youkuaiyun.com/Patrick6789/article/details/122512720</guid><author>Patrick6789</author><pubDate>Sat, 15 Jan 2022 17:56:19 +0800</pubDate><description><![CDATA[卷积函数（input，padding，卷积核，卷积函数构造）]]></description><category></category></item><item><title><![CDATA[【pytorch卷1】=1= 泰坦尼克---pytorch深度学习]]></title><link>https://blog.youkuaiyun.com/Patrick6789/article/details/122471600</link><guid>https://blog.youkuaiyun.com/Patrick6789/article/details/122471600</guid><author>Patrick6789</author><pubDate>Thu, 13 Jan 2022 13:27:59 +0800</pubDate><description><![CDATA[导入模组，data
特征工程
分成测试集训练集
组模型（损失函数，连接层,getloss)
训练模型，列出epoch。]]></description><category></category></item></channel></rss>