surface_1 : Python script to generate the dataset and to train the neural network for the first and fourth numerical experiments ("Learning compact equivalence classes" and "Learning preimages of compact equivalence classes").

surface_2 : Python script to generate the dataset and to train the neural network for the second numerical experiment ("Learning non compact equivalence classes").

thermodynamics : The script "thermodynamics.py" generates the dataset and trains the neural network for the third and fifth numerical experiments ("A thermodynamics problem" and "Thermodynamics: learning a family of isothermal curves"). "true_isothermal.py" plots the true isothermal curve corresponding to the temperature chosen in the paper.

classification : Dataset and neural network for the sixth numerical experiment ("A classification problem").