VALIDATING PERFORMANCE OF A NEURAL NETWORK TRAINED USING LABELED TRAINING DATA

A method for validating performance of a neural network trained using labeled training and validation data is provided. The method includes: determining proposed model parameters as potential updates to the neural network using the labeled validation data, performing a short-term validation on the proposed model parameters applied to the neural network based on the labeled validation data by comparing a first performance output based on the proposed model parameters and a second performance output based on currently-existing model parameters applied to the neural network, updating the currently-existing model parameters with the proposed model parameters when the second performance output outperforms the first performance output with respect to the labeled validation data, performing a long-term validation on the updated currently-existing model parameters applied to the neural network, and performing an operation when a difference between the original model parameters and the updated currently-existing model parameters lies within a threshold.