COMPARATIVE ANALYSIS OF DYNAMIC ADAPTATION OF NEURAL NETWORKS
Purpose. The study aims to systematize methods for dynamic adaptation of neural networks and to determine how structural pruning, architecture growth, combined restructuring, and conditional execution affect classification accuracy, parameter count, and estimated forward-pass cost. Methods. The study distinguishes str...