Python Keras:图层输出与输入完全相同

问题描述

限时删除！！

我正在使用Keras构建网络.在此过程中，我需要一个接受LSTM输入的层，什么也不做，只是输出与输入完全相同.即，如果LSTM的每个输入记录都像[[A_t1，A_t2，A_t3，A_t4，A_t5，A_t6]]，那么我正在寻找一层:

I am using Keras to build a Network. During the process, I need a layer, which takes an LSTM input, doing nothing, just output exactly the same as input. i.e. if each input record of LSTM is like [[A_t1, A_t2, A_t3, A_t4, A_t5, A_t6]], I am looking for a layer:

model.add(SomeIdentityLayer(x))

SomeIdentityLayer(x)将[[A_t1, A_t2, A_t3, A_t4, A_t5, A_t6]]作为输入并输出[[A_t1, A_t2, A_t3, A_t4, A_t5, A_t6]]. Keras中可以使用这种层/结构吗?谢谢！

SomeIdentityLayer(x) will take [[A_t1, A_t2, A_t3, A_t4, A_t5, A_t6]] as input and output [[A_t1, A_t2, A_t3, A_t4, A_t5, A_t6]]. Is such layer/structure available in Keras? Thanks!

推荐答案

对于像身份这样的简单操作，您可以只使用Lambda层，例如:

For a simpler operation like identity, you can just use a Lambda layer like:

model.add(Lambda(lambda x: x))

这将返回与您的输入完全相同的输出.

This will return an output exactly the same as your input.

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