We determine the phase diagram of strongly correlated fermions in the
crossover from Bose-Einstein condensates of molecules (BEC) to Cooper pairs of
fermions (BCS) utilizing an artificial neural network. By applying advanced
image recognition techniques to the momentum distribution of the fermions, a
quantity which has been widely considered as featureless for providing
information about the condensed state, we measure the critical temperature and
show that it exhibits a maximum on the bosonic side of the crossover.
Additionally, we back-analyze the trained neural network and demonstrate that
it interprets physically relevant quantities