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cs.LG2021
Embedding Principle: a hierarchical structure of loss landscape of deep neural networks
Yaoyu Zhang, Yuqing Li, Zhongwang Zhang +2
We prove a general Embedding Principle of loss landscape of deep neural networks (NNs) that unravels a hierarchical structure of the loss landscape of NNs, i.e., loss landscape of…
cs.LG2021
Nonlinear Weighted Directed Acyclic Graph and A Priori Estimates for Neural Networks
Yuqing Li, Tao Luo, Chao Ma
In an attempt to better understand structural benefits and generalization power of deep neural networks, we firstly present a novel graph theoretical formulation of neural network…