Here I want to ask how could you write neural network with multiple inputs. Your methods, modern solutions and advices.

I think it’s good decision to make a model which one can get only one input and you can use it many times.

# input1, input2, input3 = ..., ..., ...
model = Sequential()

output1 = model(input1)
output2 = model(input2)
output3 = model(input3)`

What do you think of the consistency? Does it really important to make like this or you can do:
output1 = model(input3) output2 = model(input1) output3 = model(input2)

Maybe you’re doing differently, so you can tell it here…

I tried only to do like this, so it’s pretty interesting to hear more information