Evidence, Definitions and Algorithms regarding the Existence of Cohesive-Convergence Groups in Neural Network Optimization

arXiv:2403.05610v1 Announce Type: new
Abstract: Understanding the convergence process of neural networks is one of the most complex and crucial issues in the field of machine learning. Despite the close association of notable successes in this domain with the convergence of artificial neural networks, this concept remains predominantly theoretical. In reality, due to the non-convex nature of the optimization problems that artificial neural networks tackle, very few trained networks actually achieve convergence. To expand recent research efforts on artificial-neural-network convergence, …

abstract algorithms artificial artificial neural networks arxiv association concept convergence cs.cv cs.lg definitions domain evidence machine machine learning network networks neural network neural networks optimization process type understanding