Example schematic of the Stellar Photometric Index Network Explorer (SPHINX). The architecture consists of a scalable three-layered neural network. The hidden layer performs the hyperbolic tangent activation function on the neuron-specific weighted inputs. The following layer represents each sub-networks best estimate of the stellar parameter. The final layer performs a validation weighted sum of the estimates verified to have resulted from the interpolating networks.