Insights on Cohesive-Convergence Groups in Neural Network Optimization

The author explores the concept of cohesive-convergence groups in neural network optimization, shedding light on their practical implications and relationship to dataset structure. Through defined concepts and algorithms, the paper advances understanding of neural network convergence dynamics.