<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[R2D2's Blog]]></title><description><![CDATA[Beep beep beep!]]></description><link>https://blog.youkuaiyun.com/sinat_36229016</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; sinat_36229016]]></copyright><item><title><![CDATA[【环境配置】Win10+Python3.5+Keras+Theano/TensorFlow]]></title><link>https://blog.youkuaiyun.com/sinat_36229016/article/details/53440009</link><guid>https://blog.youkuaiyun.com/sinat_36229016/article/details/53440009</guid><author>sinat_36229016</author><pubDate>Fri, 02 Dec 2016 22:36:12 +0800</pubDate><description><![CDATA[Win10+Python3.5+Keras+Theano/TensorFlow环境配置、常见问题、以及解决方案]]></description><category></category></item><item><title><![CDATA[【阅读笔记】An overview of gradient descent optimization algorithms]]></title><link>https://blog.youkuaiyun.com/sinat_36229016/article/details/53394146</link><guid>https://blog.youkuaiyun.com/sinat_36229016/article/details/53394146</guid><author>sinat_36229016</author><pubDate>Tue, 29 Nov 2016 16:08:30 +0800</pubDate><description><![CDATA[An overview of gradient descent optimization algorithms
  原文链接:http://sebastianruder.com/optimizing-gradient-descent/index.html
几种不同的梯度下降法几种梯度下降法的区别在于我们一次用多少数据来计算目标函数的梯度 
我们需要在参数更新的准确性和一次更新花费的时间上权衡利弊，确]]></description><category></category></item></channel></rss>