Hi @ptrblck and @smth, just wanted to make sure that method with concatenating lists of paramaters from two models would work even if there is some highly non-linear transformation between them?
The case I am thinking about is that model 1 will create some outputs y_1. Then a non-linear function f is applied applied, such that, the inputs to model 2: x_2 are x_2 = f(y_1).
Or is there a way of forcing a optimizer to be multiplied by a gradient of that function in between?
Thanks for your time!