ANALYSIS OF THE EFFICIENCY OF METHODS OF REDUCING THE NETWORK SELECTIVE LIPSCHITZ CONSTANTS AS TOOL TO INCREASE SPEED OF LEARNING NEURAL NETWORK ALGORITHMS
The paper addresses the problem of training neural networks with large volumes of training samples and carried out experimental analysis to evaluate the degree of improvement of training speed network using preprocessing techniques, based on lowering the selective Lipschitz constant network.