Convergence Rates of Training Deep Neural Networks via Alternating Minimization Methods

Jintao Xu, Chenglong Bao, Wenxun Xing

Training deep neural networks (DNNs) is an important and challenging optimization problem in machine learning due to its non-convexity and non-separable structure. The alternating…