In this study, we explore the similarities and differences between variational Monte Carlo techniques that employ conventional artificial neural network representations of ground-state wave function for fermionic systems. Our primary focus is on shallow architectures, specifically restricted Boltzmann machine, examine unsupervised learning algorithms are appropriate modeling complex many-body c...