<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Galaxy_Taurus的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Galaxy_Taurus</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Galaxy_Taurus]]></copyright><item><title><![CDATA[tensorflow 2.0下张量的合并与分割]]></title><link>https://blog.youkuaiyun.com/Galaxy_Taurus/article/details/103339817</link><guid>https://blog.youkuaiyun.com/Galaxy_Taurus/article/details/103339817</guid><author>Galaxy_Taurus</author><pubDate>Sun, 01 Dec 2019 21:24:03 +0800</pubDate><description><![CDATA[tf.concat([tensor1, tensor2, tensor3,…], axis)用来拼接张量的函数
tf.concat()拼接的张量只会改变一个维度，其他维度是保存不变的。比如两个shape为[2,3]的矩阵拼接，要么通过axis=0变成[4,3]，要么通过axis=1变成[2,6]。改变的维度索引对应axis的值。这样就可以理解多维矩阵的拼接了，可以用axis的设置来从不同维度进行拼...]]></description><category></category></item></channel></rss>