How to make separate Keras model with dependent weights?-CodePudding

I have to create a network with keras like in the picture below, where NN - individual neural networks.

The problem is, that they all must have same weights

I can't use shared layers (at least to my understanding), because then one network will get all the inputs in it and I need each to get specially one

Is there any way of doing this?

CodePudding user response：

Use the functional api. You can reuse a layer for different inputs. For example:

inp1 = Input(...)
inp2 = Input(...)
layer1 = Dense(...)
a1 = layer1(inp1)
a2 = layer1(inp2)

layer1 will be applied on inp1 and on inp2. It is just one layer instance, the same weights will be used for inp1 and inp2.