Future release of CAISAR will provide built-in normalization functions to bridge the gap between
requirements and the actual computations.
We must then define the result of the application of ``nn_1_1`` on the inputs.
The built-in function ``@@`` serves this purpose. Its type, ``nn -> vector 'a -> vector 'a``, describes what it does: given a neural network ``nn`` and an input vector ``x``, return the vector that is the result of the application of ``nn`` on ``x``.
Note that thanks to type polymorphism, ``@@`` can be used to