如何在Keras中实现L2范数池? [英] How to implement L2-norm pooling in Keras?

问题描述

我想在CNN上添加一个全局时间池层，该层具有三种不同的池功能:均值，最大值和L2-范数. Keras具有平均和最大池化功能，但我无法为L2找到一个.我怎么能自己实现呢?

I would like to add a global temporal pooling layer to my CNN that has three different pooling functions: mean, maximum, and L2-norm. Keras has mean and maximum pooling functions but I haven't been able to find one for L2. How could I implement this myself?

推荐答案

我也在寻找这个，在keras中没有开箱即用的功能. 但是您可以使用Lambda层实现它

I was also looking for this, there's no such pool out of the box in keras. But you can implement it with the Lambda Layer

from keras.layers import Lambda
import keras.backend as K

def l2_norm(x):
    x = x ** 2
    x = K.sum(x, axis=1)
    x = K.sqrt(x)
    return x
global_l2 = Lambda(lambda x: l2_norm(x))(previous_layer)

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