自定义激活函数依赖于 Keras 中的其他输出节点

Question

I would like to predict a multi-dimensional array using Long Short-Term Memory (LSTM) networks while imposing restrictions on the shape of the surface of interest.

I thought to accomplish this by setting some elements of the output (regions of the surface) in a functional relationship to others (simple scaling conditions).

Is it possible to set such custom activation functions for the output, whose argument are other output nodes, in Keras? If not, is there any other interface that allows this? Do you have any source to a manual?

Answer 1

Thekeras-team on the GitHub answered the question about how to make a custom activation function.

There also is a question with a code with a custom activation function.

These pages may help you!