<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[PathricLee的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/PathricLee</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; PathricLee]]></copyright><item><title><![CDATA[keras 学习]]></title><link>https://blog.youkuaiyun.com/PathricLee/article/details/79824230</link><guid>https://blog.youkuaiyun.com/PathricLee/article/details/79824230</guid><author>PathricLee</author><pubDate>Thu, 05 Apr 2018 09:59:41 +0800</pubDate><description><![CDATA[keras学习，理解其中的关键。步骤数据模型定义模型训练模型评测模型保存模型调参数据# datafrom keras.datasets import mnist(x_train, y_train), (x_test, y_test) = mnist.load_data()x_train, x_test = [x.reshape(x.shape[0], -1) / 255 for x in (x_t...]]></description><category></category></item><item><title><![CDATA[Hello, csdn]]></title><link>https://blog.youkuaiyun.com/PathricLee/article/details/78983203</link><guid>https://blog.youkuaiyun.com/PathricLee/article/details/78983203</guid><author>PathricLee</author><pubDate>Fri, 05 Jan 2018 16:59:30 +0800</pubDate><description><![CDATA[Hi, csdn
今天是2018年1月5日，csdn里面有大量经典的计算机相关的内容，对学习有很大帮助。
进入社区，就需要好好积累。
=_+
K]]></description><category></category></item></channel></rss>