如何在Keras中实现L2范数池?

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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