如何在Tensorflow中使用L2池？ [英] How to use L2 pooling in Tensorflow?

问题描述

我正在尝试实现一种使用L2池的CNN架构。该参考文件特别指出，L2池优于最大池，因此我想在tanh激活函数之后尝试L2池。

I am trying to implement one CNN architecture that uses L2 pooling. The reference paper particularly argues that L2 pooling was better than max pooling, so I would like to try L2 pooling after tanh activation function.

不过，Tensorflow似乎只提供tf.nn.ave_pool / tf.nn.max_pooling / tf.nn.max_pool_with_argmax。

However, Tensorflow seems to provide only tf.nn.ave_pool / tf.nn.max_pooling / tf.nn.max_pool_with_argmax.

是否可以在Tensorflow中实现L2池化？

Is there a way to implement L2 pooling in Tensorflow?

conv = tf.....
h = tf.nn.tanh(conv)
p = tf.pow(tf.nn.ave_pool(tf.pow(h,2)), 0.5)

这等效吗？

推荐答案

对于那些可能感到奇怪的人，当我像雅罗斯拉夫·布拉托夫（Yaroslav Bulatov）的回答那样尝试时，这会很好吗？我可以看到更好的表现！谢谢！

For those who may wonder, when I tried as in Yaroslav Bulatov's response, I could see better performance! Thanks!

这篇关于如何在Tensorflow中使用L2池？的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！