Our approach overcomes a significant drawback of SC EAM potentials which works well for the bulk systems but fails in capturing the energetics of the nanoclusters. With a relatively sparse dataset on the order of a few hundred SC EAM augmented with DFT calculations, we build a NN model that is able to concurrently capture the cluster as well as bulk properties over an extensively sampled DFT test set of 2000 -3000 configurations for each of the 10 elements. We show that our NN provides excellent predictions of both the energies and forces over a wide variety of cluster sizes. Moreover, it also reasonably captures the structure, cohesive energies, elastic and thermodynamic properties of bulk condensed phases, in good agreement with DFT calculations.