SYSTEM, METHOD AND APPARATUS FOR TRAINING NEURAL NETWORKS USING MULTIPLE DATASETS

A system, an apparatus and methods for utilizing software and hardware portions of a neural network to fix, or hardwire, certain portions, while modifying other portions are provided. A first set of weights for layers of the first neural network are established, and selected weights are modified to generate a second set of weights, based on a second dataset. The second set of weights is then used to train a second neural network.