<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[cjinxi的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/cjinxi</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; cjinxi]]></copyright><item><title><![CDATA[tf.concat 的说明]]></title><link>https://blog.youkuaiyun.com/cjinxi/article/details/103863541</link><guid>https://blog.youkuaiyun.com/cjinxi/article/details/103863541</guid><author>cjinxi</author><pubDate>Mon, 06 Jan 2020 19:35:15 +0800</pubDate><description><![CDATA[tf.concat 沿着某个轴叠加张量


t1 = [[1, 2, 3], [4, 5, 6]]
t2 = [[7, 8, 9], [10, 11, 12]]

t1.shape #（2,3)

t2.shape #（2,3）

tf.concat([t1, t2], axis = 0) 


[[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]...]]></description><category></category></item><item><title><![CDATA[tf.nn.depth_to_space 是如何计算的]]></title><link>https://blog.youkuaiyun.com/cjinxi/article/details/103862817</link><guid>https://blog.youkuaiyun.com/cjinxi/article/details/103862817</guid><author>cjinxi</author><pubDate>Mon, 06 Jan 2020 19:21:54 +0800</pubDate><description><![CDATA[depth_to_space 可以将一个张量的数据进行调整(rearrange). 具体如何变化，如下说明：

该函数主要用于4D tensor，因此，数据的格式默认为 ‘NHWC’ ， 函数将Channel轴数据变换到Hight 和 Width轴。

举例：

x = tf.constant([[[[1, 2, 3, 4, 5, 6, 7, 8], [9, 10,11, 12,13,14,15,...]]></description><category></category></item></channel></rss>