Abstract: Systems and methods for identifying at least one neural network suitable for a given application are provided. A candidate set of neural network parameters associated with a candidate neural network is selected. At least one performance characteristic of the candidate neural network is predicted. The at least one performance characteristic of the candidate neural network is compared against a current performance baseline. When the at least one performance characteristic exceeds the current performance baseline, using a predetermined training dataset is used to train and test the candidate neural network for identifying the at least one suitable neural network.