  The aim of this note is to construct a neural network for which the linear
finite element approximation of a simple one dimensional boundary value problem
is a minimum of the cost function to find out if the neural network is able to
reproduce the finite element approximation. The deepest goal is to shed some
light on the problems one encounters when trying to use neural networks to
approximate partial differential equations
