TRAINING NEURAL NETWORKS OF THE METHOD LEVENBERG-MARQUARDT IN LARGER THE AMOUNT OF DATA
The Levenberg-Marquardt method achieves a high accuracy in a neural network training. However, it requires a complex time-consuming calculation. This article provides a detailed description of the method and suggests approaches to its optimization and parallelization for the performance improvement.